NDLI: Unsupervised dimensionality reduction: Overview and recent advances

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

The 2011 International Joint Conference on Neural Networks

The 2010 International Joint Conference on Neural Networks (IJCNN)

Index [of articles]

Copyright pages

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression

Sparse kernel density estimation technique based on zero-norm constraint

A robust wind turbine control using a Neural Network based wind speed estimator

Design of dynamic petri recurrent-fuzzy-neural- network for robust path tracking control of mobile robot

Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation

Mandarin stress detection using hierarchical model based boosting classification and regression tree

An urban traffic speed fusion method based on principle component analysis and neural network

Curiosity and pleasure

Interior point based continuous methods for linear programming

Ternary multiway switch and its implementation by neuron-like element

Electricity load forecasting based on autocorrelation analysis

FBWN: An architecture of fast beta wavelet networks for image classification

Finding association of impact factor for breast cancer patient- A novel statistical approach

Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks

Possibilities and limitations of decentralised traffic control systems

Improving ANN performance for imbalanced data sets by means of the NTIL technique

Creative problem solving: A CLARION theory

Novel algorithm for Bayesian network parameter learning with informative prior constraints

Yet Rapid ICA: Applications to un-indexed image-to-image retrieval

Evolutionary classifier ensembles for semi-supervised learning

Neural predictor ensemble for accurate forecasting of $PM^{10}$ pollution

Intelligent integral backstepping sliding mode control using recurrent neural network for magnetic levitation system

Nonlinear dynamic system identification using Legendre neural network

A columnar primary visual cortex (V1) model emulation using a PS3 Cell-BE array

A spiking neural network alternative for the analog to digital converter

Combination of supervised and unsupervised algorithms for communication systems with linear precoding

Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks

Neural-based approach to perceptual sparse coding of audio signals

Recurrent neural networks solving a real large scale mid-term scheduling for power plants

Hypoglycaemia detection for type 1 diabetic patients based on ECG parameters using Fuzzy Support Vector Machine

Locally linear support vector machines and other local models

Application of rough set-based neuro-fuzzy system in NIRS-based BCI for assessing numerical cognition in classroom

Semi-supervised learning for weighted LS-SVM

Binding sparse spatiotemporal patterns in spiking computation

Spacecraft coordination control in 6DOF based on Neural Network

A new delayed projection neural network for solving quadratic programming problems

Neural-network based regression model with prior from ranking information

Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity

An online approach towards self-generating fuzzy neural networks with applications

Stability analysis of self-organizing maps and vector quantization algorithms

Proactive reputation-based defense for MANETs using radial basis function neural networks

Inflow forecasting models based on artificial intelligence

A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation

Manifold regularization for structured outputs via the joint kernel

Is the connectionist notion of subconcepts flawed?

Spatio-temporal sequence learning of visual place cells for robotic navigation

An adaptive Normalized Gaussian Network and its application to online category learning

Semantic description of multimedia contents for the optimization of the advertising impact on TV program grids

Simulating the effects of cortical feedback in the superior colliculus with topographic maps

Fast weight calculation for kernel-based perceptron in two-class classification problems

Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties

Unscented grid filtering and elman recurrent networks

A hybrid batch SOM-NG algorithm

Modifying the learning rate of FLNG dealing with imbalanced datasets

Configuring the stochastic Helmholtz machine for subcortical emotional learning

Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network

Accelerating neuro-evolution by compilation to native machine code

Topographic under-sampling for unbalanced distributions

Convergence improvement of active set support vector training

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data

Unsupervised and adaptive category classification for a vision-based mobile robot

A fast shape retrieval using dendrogram

Kernel machines for malware classification and similarity analysis

A novel ensemble classifier approach using weak classifier learning on overlapping clusters

An improved multi-label classification based on label ranking and delicate boundary SVM

Stock price prediction using Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network

Neocortical frame-free vision sensing and processing through scalable Spiking ConvNet hardware

Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays

Incomplete Cholesky decomposition based kernel principal component analysis for large-scale data set

Clustering using SOFM and genetic algorithm

Simulating probability learning and probabilistic reversal learning using the attention-gated reinforcement learning (AGREL) model

An associative memory system for incremental learning and temporal sequence

Quadrivariate Empirical Mode Decomposition

A Neuronal Multisensory Processing Simulator

Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory

A robust reinforcement based self constructing neural network

Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system

A quantum-inspired hybrid methodology for financial time series prediction

Choice of initial bias in max-min fuzzy neural networks

Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing

A new approach for fuzzy feature extraction based on pixel's brightness

Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network

Micro-scale smart grid optimization

Evolutionary neural network model of universal grammar

Robot planning by cooperation of Hopfield networks - A case of Warehouse Keeper Puzzle (sokoban) -

An efficient ICA approach based on neural network framework for biomedical applications

Adaptive washout filter design with human visual-vestibular based (HVVB) for VR-based motion simulator

Correntropy-based density-preserving data sampling as an alternative to standard cross-validation

DNA microarray analysis using Equalized Orthogonal Mapping

Negative correlation learning for classification ensembles

Quaternion-valued short term forecasting of wind profile

Multi-label classification by ART-based neural networks and hierarchy extraction

Bayesian estimates from heterogeneous population codes

A clustering ensemble method for clustering mixed data

Efficient energy landscape transformation in the problem of binary minimization

Hippocampus as unitary coherent particle filter

Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design

A unified framework for Volatile Organic Compound classification and regression

On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem

Content aware image retrieval with partition-based color features

Two perspectives to investigate the intrinsic organization of the dynamic and ongoing spontaneous brain activity in humans

Activity discovery from video employing soft computing relations

SOAR — Sparse Oracle-based Adaptive Rule extraction: Knowledge extraction from large-scale datasets to detect credit card fraud

Semantic Subspace Learning with conditional significance vectors

Selective attention improves self-organization of cortical maps with multiple inputs

A rebuilt clone elastic net algorithm for traveling salesman problem

Negative emotion detection using the heart rate recovery and time for twelve-beats heart rate decay after exercise stress test

Modeling the beneficial effects of incubation in creative brainstorming

Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction

Identification of improper processes by variable tap-length complex-valued adaptive filters

Density estimation-based document categorization using von Mises-Fisher kernels

Optimal synaptic learning in non-linear associative memory

Comparison between different methods for developing neural network topology applied to a complex polymerization process

Zip nets: Efficient associative computation with binary synapses

Unsupervised learning via iteratively constructed clustering ensemble

Mapping the Diffusion Network into a stochastic system in Very Large Scale Integration

Neural network with ensembles

Projection Vector Machine: One-stage learning algorithm from high-dimension small-sample data

Self organizing maps with the correntropy induced metric

Identifying fiber bundles with regularised к-means clustering applied to the grid-based data

Using multiple measures to predict confidence in instance classification

Data-Brain driven multi-aspect mining process planning

A low-power, high-resolution WTA utilizing translinear-loop pre-amplifier

Segmentation of head MR images using hybrid neural networks of unsupervised learning

Application of artificial neural networks and related techniques to intrusion detection

Reaction-diffusion based model to develop binocular simple cells in visual cortex along with cortical maps

Bio-inspired model for robust motion detection under noisy conditions

A hybrid grey-fuzzy-neural networks model for enterprises' bankruptcy

A kernel k-means clustering method for symbolic interval data

Integrated Time Series Forecasting approaches using moving average, grey prediction, support vector regression and bagging for NNGC

Learning and retrieval of hierarchically organized information in a simple, one-layered RNN

A universally manipulable body model: Application of the MMC principle to a dual quaternion representation

Boot.EXPOS in NNGC competition

The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on $NVidia^{®}$ CUDA™

Neural classifier for larvae recognition

Identification of twin-tanks dynamics using adaptive wavelet differential neural networks

Asymmetric-margin support vector machines for lung tissue classification

Human activity detection using spiking neural networks regulated by a gene regulatory network

Direct current motor control based on high order neural networks using stochastic estimation

A high performance SSVEP-BCI without gazing

Evolutionary approach to ICA-R

Investigating the variation of orientation tuning in a computational model of the visual cortex

Functional mapping with complex higher order compensatory neuron model

Unifying quality metrics for reservoir networks

A Force Field Driven SOM for boundary detection

Illumination invariant lane color recognition by using road color reference & neural networks

Visualizing Support Vectors and topological data mapping for improved generalization capabilities

A customer intention aware system for document analysis

Development of comparative reading system using 1D SOM for brain dock examinations

WIPs real-time control using RIBTC

An improved SOM-based visualization technique for DNA microarray data analysis

Critical branching neural computation

A probabilistic framework for joint approximate diagonalization

A framework for developing Neural Networks based mobile appliances

On the effectiveness of discretization on gene selection of microarray data

Collaborative pedestrian tracking with multiple cameras: Data fusion and visualization

Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks

Comparison of the Bayesian and neural network algorithms in nonlinear navigation estimation problems

On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis

Neuromimetic encoding/decoding of spatiotemporal spiking signals from an artificial touch sensor

Delay-induced order in pulse-coupled bifurcating neurons

Complex-valued self-organizing map clustering using complex inner product in active millimeter-wave imaging

Two-dimensional Neighborhood Discriminant Projection

Nonlinear regularization path for the modified Huber loss Support Vector Machines

Temporally coupled Principal Component Analysis: A Probabilistic autoregression method

Investigation of generalized Hopfield model by statistical physics methods

Multi-task Learning for one-class classification

Adaptive clustering of production state based on kernel entropy component analysis

Memory in reservoirs for high dimensional input

Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

Virtual k-fold cross validation: An effective method for accuracy assessment

Orthogonal linear local spline discriminant embedding for face recognition

A novel constraint satisfaction problem solver for self-configuring distributed systems with highly dynamic behavior

High performance spike detection and sorting using neural waveform phase information and SOM clustering

A Bayesian framework for active learning

Grounded symbols in the brain

Drive for Creativity

Relational topological clustering

Neural network based drug design for diabetes mellitus using QSAR with 2D and 3D descriptors

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

Quantum Morphogenetic System in View-Invariant recognition

Neurobiological challenge on visually attentive navigation: Who triggers the development of hippocampal Place Fields? Who responds for the appearance of motivational status to navigate?

Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using Artificial Neural Networks and Genetic algorithms, in Thessaloniki, Greece

Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM

An ANN based automatic hyperspectral image processing system with adaptive dimensionality reduction

Performance evaluation of a community structure finding algorithm using modularity and C-rand measures

Automatic concept type identification from learning resources

Context-dependent environmental sound monitoring using SOM coupled with LEGION

An insect brain computational model inspired by Drosophila melanogaster: Architecture description

An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction

Robust relevance vector machine with noise variance coefficient

Hybrid system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and Multi Layer Perceptrons combined by a fuzzy inference system

Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier

Impulsive hybrid synchronization of chaotic discrete-time delayed neural networks

Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap

Maximizing pattern separation in discretizing continuous features for classification purposes

A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms

Uncertainty with the Gamma Test for model input data selection

Empirical Mode Decomposition - an introduction

Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot

Sliding Empirical Mode Decomposition

Brain status data analyzed by Empirical Mode Decomposition

Sliding mode online learning for flight control applications in unmanned aerial systems

Cerebellar spiking engine: Towards objet model abstraction in manipulation

A privacy attack that removes the majority of the noise from perturbed data

Batch-Learning Self-Organizing Map with Weighted Connections avoiding false-neighbor effects

Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity

Power ystem controller design: A comparison between breeder genetic algorithm and Population Based Incremental Learning

Improved learning in grid-to-grid neural network via clustering

A neural model approach for regularization in the mean estimation case

Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization

An insect brain computational model inspired by Drosophila melanogaster: Simulation results

Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function

Design and analysis of the WCCI 2010 active learning challenge

Dynamic system eigenvalue extraction using a linear echo state network for small-signal stability analysis - a novel application

Application of NNT in wind speed forecasting

Biologically plausible connectionist prediction of natural language thematic relations

Fusing bottom-up and top-down pathways in neural networks for visual object recognition

Adaptive dynamic programming for a class of discrete-time non-affine nonlinear systems with time-delays

Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry

First-order logic learning in Artificial Neural Networks

Feature selection for support vector regression via Kernel penalization

Direct torque adaptive vector neural control of a three-phase induction motor

Cost-sensitive learning methods for imbalanced data

An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques

Eigenposes: Using principal components to describe body configuration for analysis of postural control dynamics

A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming

Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task

Image compression with hardware self-organizing map

Classification of musical styles using liquid state machines

Self-organizing neural networks for behavior modeling in games

Deep auto-encoder neural networks in reinforcement learning

EEG frequency analysis for dozing detection system

The central control of oriented locomotion in insects - towards a neurobiological model

Use of Artificial Neural Networks for improving fiber optic microbend sensor performance

Correlation detection with firing rate estimation based on temporal coincidence coding

Central england temperatures and solar activity: A Computational Intelligence approach

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions

Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment

Heterogeneous Bayesian ensembles for classifying spam emails

Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics

Classifying means of transportation using mobile sensor data

Testing olfactory models with an artificial experimental platform

Creating health typologies with random forest clustering

Digital spike maps and learning of spike signals

Learning objects on the fly - object recognition for the here and now

Robust mixture modeling using the Pearson type VII distribution

Dynamic segmentation using Fuzzy Oscillatory Networks

Comparison of range check classifier and hybrid network classifier for hand sign recognition system

Multiclass classifiers vs multiple binary classifiers using filters for feature selection

Content-based spam filtering

Multiple kernel learning with ICA: Local discriminative image descriptors for recognition

Non-destructive classification of watermelon ripeness using Mel-Frequency Cepstrum Coefficients and Multilayer Perceptrons

Affordable emerging computer hardware for neuromorphic computing applications

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA

State-space control of nonlinear systems identified by ANARX and Neural Network based SANARX models

Fuzzy predictive models to help teachers in e-learning courses

Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action

Automatic extraction of face contours

Rolling element bearing diagnosis using convex hull

Neuronet's method of weighted residuals for computer simulation of hydrodynamics problems

Incremental learning for visual classification using Neural Gas

Fixed point method of step-size estimation for on-line neural network training

Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models

Factors affecting boosting ensemble performance on DNA microarray data

A generic approach for learning performance assessment functions

Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition

Advances in structural modeling robust to outliers in explanatory and response variables

Exploration vs. exploitation in active learning : A Bayesian approach

Region enhanced neural Q-learning for solving model-based POMDPs

Hardware implementation of stochastic-based Neural Networks

SARSA-based reinforcement learning for motion planning in serial manipulators

Emotion recognition based on a novel triangular facial feature extraction method

Making use of damped noisy gradient in training neural network

A complexity based Silent Pruning Algorithm

Flexible parametric modelling of the hazard function in breast cancer studies

Exploring and optimizing dynamic neural fields parameters using Genetic Algorithms

MK-means - Modified K-means clustering algorithm

Reinforcement Learning with a Gaussian mixture model

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips

e-Learning system to support teacher's awareness for misunderstandings in quiz

Use of a FIS for low cost student presence detector in e-learning 2.0

Improving boosting performance with a local combination of learners

Region of Interest Based Image Classification using time series analysis

Retinal image classification using a histogram based approach

Unconstrained offline handwriting recognition using connectionist character N-grams

Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data

An incremental learning method for neural networks in adaptive environments

A probabilistic method for hierarchical 2D-3D tracking

L-SLAM: Reduced dimensionality FastSLAM algorithms

Towards autonomous bootstrapping for life-long learning categorization tasks

A fuzzy associative memory based on Kosko's subsethood measure

Dimensionality reduction by rank preservation

An information theoretic approach for in-situ underwater target classification

Naive Bayes texture classification applied to whisker data from a moving robot

Information theoretic learning applied to wind power modeling

Self-organizing agents for reinforcement learning in virtual worlds

The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions.

Dynamic binary neural networks and evolutionary learning

Building “invertible” fractals: Introduction to Context-Dependant Iterated Function Systems

Biological neural network based chemotaxis behaviors modeling of C. elegans

EEG signal separation for multi-class motor imagery using common spatial patterns based on Joint Approximate Diagonalization

Extraction of thin color pattern from images for histology investigation

SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets

Reasoning with spatial relations over high-content images

Hardware system for biologically realistic, plastic, and real-time spiking neural network simulations

Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network

Development of Chebyshev neural network-based smart sensors for noisy harsh environment

Algorithm of Partition based Network Boosting for imbalanced data classification

Classifying motor imagery in presence of speech

Gene regulatory networks with variable-order dynamic Bayesian networks

Robust predictive controller based on an uncertain neural networks model

The creativity effect: Consciousness versus attention

A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system

Modified Support Vector Regression in outlier detection

An anomaly detection system using a GHSOM-1

A Recurrent S_CMAC_GBF based estimation for global solar radiation from environmental information

Dimensionality reduction based on minimax risk criterion for face recognition

Self-organized executive control functions

Implementing spike-timing-dependent plasticity on SpiNNaker neuromorphic hardware

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

A robotic eye controller based on cooperative neural agents

Pruning population size in XCS for complex problems

A computational model of adults' performance in naming objects using cross-situational learning

An MDM solver for the nearest point problem in Scaled Convex Hulls

Fuzzy-GIST for 4-emotion recognition in natural scene images

GNG based surveillance system

LMI formulation for multiobjective learning in Radial Basis Function neural networks

Credit default swap pricing using artificial neural networks

Encoding real values into polychronous spiking networks

A synergistic view of autonomous cognitive systems

A hybrid method for novelty detection in time series based on states transitions and swarm intelligence

Recurrent snap-drift neural network for phrase recognition

Self-sustained activity in attractor networks using neuromorphic VLSI

Discriminative feature extraction with Deep Neural Networks

Self-organization of two interacting winner-take-all systems

SVM - Neighbor based candidate working set selection applied on text-categorization

Neural network architecture selection analysis with application to cryptography location

On Gaussian random neuronal field model: Moment neuronal network approach

Find synaptic topology from spike trains

Binary classification based on SVDD projection and nearest neighbors

Hand gesture modelling and tracking using a Self-Organising Network

A bidirectional associative memory based on cortical spiking neurons using temporal coding

Label propagation through neuronal synchrony

FPGA implementation of a support vector machine for classification and regression

Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model

New top-down methods using SVMs for Hierarchical Multilabel Classification problems

Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization

A Cost Function Based Single Network Adaptive Critic architecture for optimal control synthesis for a class of nonlinear systems

Development of a virtual agent based social tutor for children with autism spectrum disorders

Over-segmentation and Neural Binary Validation for cursive handwriting recognition

Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes

A geometric radial basis function network for tracking variant 3D transformations

Feature selection and fast training of subspace based support vector machines

Occurrence of false memories: A neural module considering context for memorization of words lists

Period detection in light curves from astronomical objects using correntropy

SMART: Simultaneous indoor localization and map construction using smartphones

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network

Emotional quality level recognition based on HRV

Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC)

An optimal sphere and two large margins approach for novelty detection

A neural network method for prediction of 2006 World Cup Football Game

Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test

Spatio-spectral sufficient statistic for mental imagery EEG signals

A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface

Rhythmic component extraction considering phase alignment and the application to motor imagery-based brain computer interfacing

Acquisition of adaptive walking behaviors using machine learning with Central Pattern Generator

A loss function for classification based on a robust similarity metric

Memory versus non-linearity in reservoirs

Automated texture classification of marble shades with real-time PLC neural network implementation

Opposition-based particle swarm optimization for the design of beta basis function neural network

Hybrid world object tracking for a virtual teaching agent

Space-varying cellular neural networks designed by Hopfield neural network

Topological chaos and chaotic iterations application to hash functions

Enhanced Two-Phase method in fast learning algorithms

Model predictive control by differential neural networks approach

Euclidean distance and second derivative based widths optimization of radial basis function neural networks

Improved Kohonen Feature Map Probabilistic Associative Memory based on Weights Distribution

Change detection tests using the ICI rule

A mixed-type self-organizing map with a dynamic structure

Probabilistic Dynamic Logic of Phenomena and Cognition

A component based approach improves classification of discrete facial expressions over a holistic approach

Building blocks for spikes signals processing

Possibility of synchronization in Hopfield like Chaotic Neural Networks with just adding a single neuron

DNA base-calling using polynomial classifiers

A study of the switching function of the Subthalamic Nucleus in saccade generation using a computational model of Basal Ganglia

Adaptive on-line prediction soft sensing without historical data

Short Term Load Forecasting using Echo State Networks

An image recognition based on neural oscillator network

A distributed model of memory for the McGurk effect

A surface reconstruction method based on self-organizing maps and intrinsic Delaunay triangulation

Learning methods of recurrent Spiking Neural Networks based on adjoint equations approach

Improving financial time series prediction using exogenous series and neural networks committees

Dual-network memory model using a chaotic neural network

Application of artificial neural networks to the geochemical study of an impacted fluvial system

Based on Support Vector Regression for emotion recognition using physiological signals

N2Cloud: Cloud based neural network simulation application

Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM

Studying the economy of energy expenditure in a large balanced spiking neuron network

A nonexclusive task decomposition method for modular neural networks

Parallel tempering is efficient for learning restricted Boltzmann machines

Neural behaviors and nonlinear dynamics of a rotate-and-fire digital spiking neuron

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network

Top-down visual selective attention model combined with bottom-up saliency map for incremental object perception

Integrate-and-fire-type digital spiking neuron and its learning for spike-pattern-division multiplex communication

Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data

Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms

Personalized facial expression recognition in indoor environments

An Evolutionary Robotics 3D model for autonomous MAVs navigation, target tracking and group coordination

GPU-based simulation of spiking neural networks with real-time performance & high accuracy

An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning

Fuzzy neural network based RFID indoor location sensing technique

Learning process of Affordable Neural Network for backpropagation algorithm

Prediction and identification using recurrent wavelet-based cerebellar model articulation controller neural networks

Identifying causal relationships in an urban information modeling framework

Early detection of diseases in tomato crops: An Electronic Nose and intelligent systems approach

MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining

A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions

Context-aware knowledge modelling for decision support in e-health

Classification of micro-array gene expression data using neural networks

Exploit of online social networks with Semi-Supervised Learning

Agents based approach for smart eco-home environments

Forecasting electricity prices using a RBF neural network With GARCH errors

Building the knowledge base of a buyer agent using reinforcement learning techniques

Person identification using VEP signals and SVM classifiers

Improvement in service robot's interaction through case based reasoning

Learning long-term dependencies using layered graph neural networks

Frequency independent automatic input variable selection for Neural Networks for forecasting

Multiobjective multiclass support vector machine based on the one-against-all method

An Improved Online quasi-Newton method for robust training and its application to microwave neural network models

Incremental learning and model selection under virtual concept drifting environments

Accelerated simulation of spiking neural networks using GPUs

Rule extraction from neural networks for medical domains

An open-source real-time system for remote robotic control using Neuroblastoma cultures

High-performance bankruptcy prediction model using Graphics Processing Units

A competitive network for multi-object selection

Financial distress model prediction using SVM+

An intelligent system for diagnosing sleep stages using wavelet coefficients

Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface

A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework

Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface

A cognitive developmental robotics architecture for lifelong learning by evolution in real robots

Latent learning in deep neural nets

A new approach for history matching of oil and gas reservoir

A biologically inspired associative memory for artificial olfaction

Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses

Support Feature Machines: Support vectors are not enough

A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design

Effect of different detrending approaches on computational intelligence models of time series

Evolving granular neural network for semi-supervised data stream classification

Topology optimization for artificial neural networks using differential evolution

Potential support vector machines and Self-Organizing Maps for phytoplankton discrimination

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology

Tracking gestures using a probabilistic Self-Organising network

On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition

Atrial activity estimation using periodic component analysis

Robust neural network RISE observer based fault diagnostics and prediction

An island-model framework for evolving neuro-controllers for planetary rover control

Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs

Concatenated trial based Hilbert-Huang transformation on event-related potentials

Evidence-based mixture of MLP-experts

Visual spike-based convolution processing with a Cellular Automata architecture

The neuronal substrate underlying order and interval representations in sequential tasks: A biologically based robot study

Ensemble particle swarm model selection

Robust recurrent wavelet-based CMAC control for uncertain nonlinear systems with $H^{∞}$ tracking performance

Opposition based computing — A survey

Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution

The real-world localization and classification of multiple odours using a biologically based neurorobotics approach

Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms

The effect of finite sample size on the holdout error probability estimator of homoscedastic multi-class Gaussian classification problems

Discrete time recurrent neural network sliding mode observer

Neural expert weighing

An integrated computational model of the two phase theory of classical conditioning

Stochastic weight update in the backpropagation algorithm on feed-forward neural networks

Comparison of MLP cost functions to dodge mislabeled training data

Fully Automatic Bayesian Neural Forecaster - NN GC1

EEG-based absence seizure detection methods

ANN-based representation of parametric and residual uncertainty of models

Game Theory & Data Mining model for price dynamics in financial institutions

An iterative approach to local-PCA

Fault detection, identification, and reconstruction of faulty chemical gas sensors under drift conditions, using Principal Component Analysis and Multiscale-PCA

Time-series temporal classification using Feature Ensemble learning

Modified Neural Network aided EKF based SLAM for improving an accuracy of the feature map

An genetic approach to Support Vector Machines in classification problems

Semi-supervised learning from imperfect data through particle cooperation and competition

Predicting drug absorption rates through human skin

An instruction language for the explicit programming of axonal growth patterns

Active learning support vector machines to classify imbalanced reservoir simulation data

Incremental knowledge acquisition and self learning from text

Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler

Transferred correlation learning: An incremental scheme for neural network ensembles

Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework

Spectral Clustering with Reverse Soft K-Nearest Neighbor Density Estimation

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge

Evolving Spiking Neural Networks for predicting transcription factor binding sites

Neural network-based taxonomic clustering for metagenomics

Modelling of temperature in the aluminium smelting process using Neural Networks

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model

A new domain decomposition for B-spline Neural Networks

Software defect prediction using static code metrics underestimates defect-proneness

A comprehensive comparison of ML algorithms for gene expression data classification

A T-S Fuzzy Logic Controller for biped robot walking based on adaptive network fuzzy inference system

Reinforcement learning using associative memory networks

Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels

Compressing a neural network classifier using a Volterra-Neural Network model

An intelligent perturbative approach for the time series forecasting problem

DCPE co-training: Co-training based on diversity of class probability estimation

A hierarchical predictive scheme for incremental time-series classification

Decentralized nearly optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation

A high order neural network to solve N-queens problem

Autonomous cognition and reinforcement learning for mobile robots

A generalized Markov Chain modeling approach for on board applications

The knowledge instinct of autonomous adaptation

Neural assembly generation by selective connection weight updating

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Unsupervised dimensionality reduction: Overview and recent advances

Content Provider	IEEE Xplore Digital Library
Author	Lee, J.A. Verleysen, M.
Copyright Year	2010
Description	Author affiliation: IREC Institute of the Université catholique de Louvain (UCL), France (Lee, J.A.; Verleysen, M.)
Abstract	Unsupervised dimensionality reduction aims at representing high-dimensional data in lower-dimensional spaces in a faithful way. Dimensionality reduction can be used for compression or denoising purposes, but data visualization remains one its most prominent applications. This paper attempts to give a broad overview of the domain. Past develoments are briefly introduced and pinned up on the time line of the last eleven decades. Next, the principles and techniques involved in the major methods are described. A taxonomy of the methods is suggested, taking into account various properties. Finally, the issue of quality assessment is briefly dealt with.
Starting Page	1
Ending Page	8
File Size	680546
Page Count	8
File Format	PDF
ISBN	9781424469161
ISSN	10987576
e-ISBN	9781424469185
DOI	10.1109/IJCNN.2010.5596721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Measurement Manifolds Kernel Laplace equations Cost function
Content Type	Text
Resource Type	Article

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