NDLI: A nonparametric information theoretic approach for change detection in time series

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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)

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Conference papers

Efficient Levenberg-Marquardt minimization of the cross-entropy error function

Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage

Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation

Stochastic analysis of smart home user activities

Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network

B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm

A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition

Network-based learning through particle competition for data clustering

Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm

Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming

Topic model with constrainted word burstiness intensities

Semi-supervised feature extraction with local temporal regularization for EEG classification

Temporal and rate decoding in spiking neurons with dendrites

Continuous time recurrent neural network designed for KWTA operation

Foraging behavior in a 3-D virtual sea snail having a spiking neural network brain

Emotions of cognitive dissonance

Exploring speaker-specific characteristics with deep learning

Neural networks for model predictive control

Residential energy system control and management using adaptive dynamic programming

Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty

A multi-state model of cortical memory

On the clustering of large-scale data: A matrix-based approach

ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction

Multi-task beta process sparse kernel machines

Handwritten Chinese character identification with Bagged One-Class support vector machines

Adaptive spiking neural networks with Hodgkin-Huxley neurons and Hebbian learning

Selecting syntactic attributes for authorship attribution

How the core theory of CLARION captures human decision-making

Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms

Conditional multi-output regression

Prosody dependent Mandarin speech recognition

Genetic optimization of ensemble neural networks for complex time series prediction

Simulating Parkinson's disease patient deficits using a COVIS-based computational model

A theory of the brain - the brain uses both distributed and localist (symbolic) representation

Bio-inspired balanced tree structure dynamic network

Density and neighbor Adaptive Information Theoretic Clustering

Computational intelligence methods for underwater magnetic-based protection systems

GA-based feature selection approach in biometric hand systems

An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine

Agent teams and evolutionary computation: Optimizing semi-parametric spatial autoregressive models

Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models

Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise

Comparing evolutionary methods for reservoir computing pre-training

A SOM-based multimodal system for musical query-by-content

Discriminant Kernels derived from the optimum nonlinear discriminant analysis

Controlled consensus time for community detection in complex networks

Parallel genetic algorithms for optimization of Modular Neural Networks in pattern recognition

Unsupervised feature selection and category formation for mobile robot vision

Attention selection model using Weight Adjusted Topological properties and quantification evaluating criterion

Neural classification of infrasonic signals associated with hazardous volcanic eruptions

Robot control with a fully tuned Growing Radial Basis Function neural network

Improving question retrieval in community question answering with label ranking

Autonomous learning of a human body model

Genetic feature selection in EEG-based motion sickness estimation

Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training

Mental disorders within a cognitive architecture

Recognition model of cerebral cortex based on approximate belief revision algorithm

Filter Bank Common Spatial Pattern (FBCSP) algorithm using online adaptive and semi-supervised learning

On improving trust-region variable projection algorithms for separable nonlinear least squares learning

Study on gesture recognition system using posture classifier and Jordan recurrent neural network

Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls

A neural circuit model for nCRF's dynamic adjustment and its application on image representation

Creativity and thinking according to cognition-language-music model

Magnification in divergence based neural maps

Artificial neural network performance degradation under network damage: Stuck-at faults

A neuromorphic architecture from single transistor neurons with organic bistable devices for weights

Finding dependent and independent components from two related data sets

Towards the grounding of abstract words: A Neural Network model for cognitive robots

Parallel Semiparametric Support Vector Machines

Image segmentation based on local spectral histograms and linear regression

Adaptive background estimation using an information theoretic cost for hidden state estimation

Mental saccades in control of cognitive process

Perfect recall from noisy input patterns with a dendritic lattice associative memory

Power wind mill fault detection via one-class ν-SVM vibration signal analysis

A supervised approach for change detection in data streams

From neural activation to symbolic alignment: A network-based approach to the formation of dialogue lexica

A new evaluation measure for learning from imbalanced data

Effects of compensation, connectivity and tau in a computational model of Alzheimer's Disease

Cell assemblies for query expansion in Information Retrieval

Expectation-maximization approach to Boolean factor analysis

Learning algorithms for a specific configuration of the quantron

Embodied cognition, language, and mirror neuron system

An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem

Gradient-based morphological approach for software development cost estimation

Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting

Motivated learning in autonomous systems

Dynamics of fractional-order neural networks

Phase change memory for synaptic plasticity application in neuromorphic systems

Text to phoneme alignment and mapping for speech technology: A neural networks approach

Application of SOM to analysis of Minnesota soil survey data

Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming

Ensemble of perceptrons with confidence measure for piecewise linear decomposition

Quest for efficient option pricing prediction model using machine learning techniques

On the structure of algorithm spaces

Prediction of electric power consumption for commercial buildings

A memetic framework for cooperative coevolution of recurrent neural networks

Modularity adaptation in cooperative coevolution of feedforward neural networks

Cooperation control and enhanced class structure in self-organizing maps

Improved image super-resolution by Support Vector Regression

Independent component analysis with graphical correlation: Applications to multi-vision coding

A Hubel Wiesel model of early concept generalization based on local correlation of input features

A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities

Fast Autonomous Growing Neural Gas

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes

A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses

Fast online incremental transfer learning for unseen object classification using self-organizing incremental neural networks

A Brain-Computer Interface for classifying EEG correlates of chronic mental stress

A neural network classifier for notch filter classification of sound-source elevation in a mobile robot

Interacting maps for fast visual interpretation

Discriminative Hat Matrix: A new tool for outlier identification and linear regression

Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems

Unsupervised and transfer learning challenge

Ensemble classifier composition: Impact on feature based offline cursive character recognition

Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs

A self-organizing neural network using hierarchical particle swarm optimization

Chord recognition using neural networks based on Particle Swarm Optimization

Information coding with neural ensembles for a mobile robot

Reinforcement learning and dimensionality reduction: A model in computational neuroscience

A MLP-SVM hybrid model for cursive handwriting recognition

Probabilistic Self-Organizing Maps for multivariate sequences

Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity

Smart recognition and synthesis of emotional speech for embedded systems with natural user interfaces

Learning confidence exchange in Collaborative Clustering

A spiking neural network for tactile form based object recognition

The pitfalls of doing the right thing for the wrong reason

Utilizing Hubel Wiesel models for semantic associations and topics extraction from unstructured text

Pruning with replacement and automatic distance metric detection in limited general regression neural networks

Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks

New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures

An improved architecture for Probabilistic Neural Networks

Incremental object classification using hierarchical generative Gaussian mixture and topology based feature representation

A statistical parametric method for the extraction of stimulus dependent activity from intrinsic optical signals

A fast learning algorithm with Promising Convergence Capability

Representing and decoding rank order codes using polychronization in a network of spiking neurons

A training algorithm for SpikeProp improving stability of learning process

Variations to incremental growing neural gas algorithm based on label maximization

Non-Gaussian component analysis using Density Gradient Covariance matrix

Supervised Matrix Factorization with sparseness constraints and fast inference

Natural language generation using automatically constructed lexical resources

A new algorithm for graph mining

A cortex-like model for rapid object recognition using feature-selective hashing

Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction

Learning with few examples: An empirical study on leading classifiers

Application of Cover's theorem to the evaluation of the performance of CI observers

Realizing Video Time Decoding Machines with recurrent neural networks

Models of clifford recurrent neural networks and their dynamics

Using 3D GNG-based reconstruction for 6DoF egomotion

Wiener systems for reconstruction of missing seismic traces

A tool to implement probabilistic automata in RAM-based neural networks

Consciousness-driven model for visual attention

Discrete-time neural identifier for electrically driven nonholonomic mobile robots

Evolutionary spectral co-clustering

Uncertainty sampling methods for selecting datasets in active meta-learning

Reference time in SpikeProp

Radial basis function network for well log data inversion

Distributed configuration of massively-parallel simulation on SpiNNaker neuromorphic hardware

The application of Evolutionary Neural Network for bat echolocation calls recognition

Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis

Implementation of signal processing tasks on neuromorphic hardware

A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence

Stochastic Artificial Neural Networks and random walks

PAC learnability versus VC dimension: A footnote to a basic result of statistical learning

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems

In-sample model selection for Support Vector Machines

Evaluating the training dynamics of a CMOS based synapse

Selecting the hypothesis space for improving the generalization ability of Support Vector Machines

The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks

Finding patterns in labeled graphs using spectrum feature vectors in a SOM network

Modular deep belief networks that do not forget

Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology

Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network

Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes

Relational reinforcement learning and recurrent neural network with state classification to solve joint attention

Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT

Graph-based features for supervised link prediction

Fast AdaBoost training using weighted novelty selection

Attention driven computational model of the auditory midbrain for sound localization in reverberant environments

Forecasting exchange rate with deep belief networks

Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry

Online-learned classifiers for robust multitarget tracking

A nonparametric information theoretic approach for change detection in time series

Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor - One-to-many association ability -

A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality

Melody retrieval by self-organizing map with refractoriness which has robustness for fluctuation of key input

An improved geometric Radial Basis function Network for Hand-Eye Calibration

Latent learning - What your net also learned

Structured clustering with automatic kernel adaptation

Classification of blurred textures using multilayer neural network based on multi-valued neurons

Observed Stent's anti-Hebbian postulate on dynamic stochastic computational synapses

A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques

Filter Bank Feature Combination (FBFC) approach for brain-computer interface

Neural network estimation of photovoltaic I–V curves under partially shaded conditions

On retrieval performance of associative memory by Complex-valued Synergetic Computer

A fast learning Fully Complex-valued Relaxation Network (FCRN)

Real-time state estimation on micro-grids

Biologically-inspired neural coding of sound onset for a musical sound classification task

Advances on criteria for biological plausibility in artificial neural networks: Think of learning processes

Extended Kalman filter using a kernel recursive least squares observer

Modeling the cholinergic innervation in the infant cortico-hippocampal system and its contribution to early memory development and attention

Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering

Cellular Neural Networks with switching two types of templates

Selective adjustment of rotationally-asymmetric neuron σ-widths

Self-Organizing Neural Population Coding for improving robotic visuomotor coordination

Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network

The German Traffic Sign Recognition Benchmark: A multi-class classification competition

A digital implementation of the nucleus laminaris

Online parts-based feature discovery using competitive activation neural networks

Yearly and seasonal models for electricity load forecasting

A stochastic model based on neural networks

Complex-valued functional link network design by orthogonal least squares method for function approximation problems

EEG-based brain dynamics of driving distraction

Solving Traveling Salesman Problem by a hybrid combination of PSO and Extremal Optimization

Pattern classifiers with adaptive distances

A general framework for development of the cortex-like visual object recognition system: Waves of spikes, predictive coding and universal dictionary of features

Neuronal avalanche induced by multiplicative spike-timing-dependent plasticity

On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios

Sparse kernelized vector quantization with local dependencies

Innovative embodiment of job interview in emotionally aware communication robot

PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals

Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network

Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method

Neuro-fuzzy dynamic pole placement control of nonlinear discrete-time systems

EEG denoising with a recurrent quantum neural network for a brain-computer interface

A spiking neuronal network model of the dorsal raphe nucleus

Modeling the young modulus of nanocomposites: A neural network approach

Pulse-Type Hardware Inhibitory Neural Networks for MEMS micro robot using CMOS technology

Autoassociative Pyramidal Neural Network for face verification

Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition

Image compression based on growing hierarchical Self-Organizing Maps

Predictive neural fields for improved tracking and attentional properties

Spiking neural networks based cortex like mechanism: A case study for facial expression recognition

Chaotic routing strategy with load-balanced effects for communication networks

Adaptive tree kernel by multinomial generative topographic mapping

Experimental studies with a hybrid model of unsupervised neural networks

A columnar V1/V2 visual cortex model and emulation using a PS3 cell-BE array

An effective just-in-time adaptive classifier for gradual concept drifts

Training a network of mobile neurons

Stability analysis of layered digital dynamic networks using dissipativity theory

Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions

Neural networks based minimal or reduced model representation for control of nonlinear MIMO systems

Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform

Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case

A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources

Visualisation of network forensics traffic data with a self-organising map for qualitative features

The temporality of consciousness: Computational principles of a single information integration-propagation process (I)

Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research

Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network

Two-phase GA parameter tunning method of CPGs for quadruped gaits

Simulation of a memristor-based spiking neural network immune to device variations

Dynamic learning rate (η) for recurrent high order neural observer (RHONO): Anaerobic process application

Partitioning methods used in DBS treatments analysis results

Connectionist reinforcement learning for intelligent unit micro management in StarCraft

A reversibility analysis of encoding methods for spiking neural networks

A forecast-based biologically-plausible STDP learning rule

Learning to rank relational objects based on the listwise approach

Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge

Comparative study on dimension reduction techniques for cluster analysis of microarray data

Discrete-time neural block control for a doubly fed induction generator

Modularity-based model selection for kernel spectral clustering

Forecasting tropospheric ozone concentrations with adaptive neural networks

Computational intelligence methods for helicopter loads estimation

A Hybrid system with what-where-memory for multi-object recognition

Self-reorganizing knowledge representation for autonomous learning in social agents

Neural network identification for biomass gasification kinetic model

CHARISMA: A Context Hierarchy-based cognitive architecture for self-motivated social agents

An insect brain inspired neural model for object representation and expectation

Emotional state recognition from speech via soft-competition on different acoustic representations

A committee of neural networks for traffic sign classification

Sparseness and a reduction from Totally Nonnegative Least Squares to SVM

Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier

Identification of key music symbols for optical music recognition and on-screen presentation

Traffic flow breakdown prediction using feature reduction through Rough-Neuro Fuzzy Networks

Chaos of protein folding

Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities

Temporal nonlinear dimensionality reduction

An event-driven model for the SpiNNaker virtual synaptic channel

Evolution of robotic neurocontrollers with intrinsic noise and their behavior in noisy environments

A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics

A novel facial feature extraction method based on ICM network for affective recognition

Sparse analog associative memory via L1-regularization and thresholding

Short-term load forecasting for electrical regional of a distribution utility considering temperature

A weighted image reconstruction based on PCA for pedestrian detection

Kernel adaptive filtering with maximum correntropy criterion

Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients

A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking

Perturbation theory for stochastic learning dynamics

Evolving Clonal Adaptive Resonance Theory based on ECOS theory

Online incremental clustering with distance metric learning for high dimensional data

Graph weighted subspace learning models in bankruptcy

Proving the efficacy of complementary inputs for multilayer neural networks

Entropy penalized learning for Gaussian mixture models

Modeling prosopagnosia using dynamic artificial neural networks

A low-power memristive neuromorphic circuit utilizing a global/local training mechanism

The effects of neuromodulation on human-robot interaction in games of conflict and cooperation

Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management

A hybrid system ensemble based time series signal classification on driver alertness detection

A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture

Neural image thresholding with SIFT-Controlled gabor features

Comparison of neural networks-based ANARX and NARX models by application of correlation tests

A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface

Coupling clustering and visualization for knowledge discovery from data

Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents

A new sensitivity-based pruning technique for feed-forward neural networks that improves generalization

Traffic sign classification using K-d trees and Random Forests

Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks

Visual attention using spiking neural maps

Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks

Hospital foundation actions: Neural network model variable importance

A hybrid PCA-LDA model for dimension reduction

3D modeling of virtualized reality objects using neural computing

A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub

Recognition of human physical activity based on a novel hierarchical weighted classification scheme

A Support Vector Machines network for traffic sign recognition

Local learning rules for spiking neurons with dendrite

Optimal operation via a recurrent neural network of a wind-solar energy system

Embedded power quality monitoring system based on Independent Component Analysis and SVMs

Combining different ways to generate diversity in bagging models: An evolutionary approach

A Fast Learning Complex-valued Neural Classifier for real-valued classification problems

Supervised learning in a single layer Dynamic Synapses Neural Network

Knife-edge scanning microscopy for connectomics research

The role of orientation diversity in binocular vergence control

Learning random subspace novelty detection filters

Supervised link prediction in weighted networks

Class of all i-v dynamics for memristive elements in pattern recognition systems

A batch self-organizing maps algorithm based on adaptive distances

Robust locally linear embedding using penalty functions

Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm

Multiple distribution data description learning method for novelty detection

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

An online actor-critic learning approach with Levenberg-Marquardt algorithm

An improved neural architecture for gaze movement control in target searching

Out-of-sample eigenvectors in kernel spectral clustering

Functional and physical constraints for evolving small-world structure in embodied networks

GA-PAT-KNN: Framework for time series forecasting

A SOM combined with KNN for classification task

Discrete Synapse Recurrent Neural Network with time-varying delays for nonlinear system modeling and its application on seismic signal classification

A novel neural network inspired from Neuroendocrine-Immune System

Creative brain and abstract art: A quantitative study on Kandinskij paintings

Neural PD control with second-order sliding mode compensation for robot manipulators

Memristor synaptic dynamics' influence on synchronous behavior of two Hindmarsh-Rose neurons

Instance selection algorithm based on a Ranking Procedure

Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot

Fast pattern matching with time-delay neural networks

Guided fuzzy clustering with multi-prototypes

Lag selection for time series forecasting using Particle Swarm Optimization

Preliminary studies on parameter aided EKF-CRTRL equalizer training for fast fading channels

A simulation environment for volatility analysis of developed and in development markets

An innovative Positional Pattern Detection tool applied to GAL4 Binding Sites in yeast

Application of hybrid learning strategy for manipulator robot

CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps

A comparative study of classification methods for gesture recognition using a 3-axis accelerometer

Biologically inspired model for crater detection

A fast optimized semi-supervised non-negative Matrix Factorization algorithm

Magnetic resonance imaging estimation of longitudinal relaxation rate change (ΔR) in dual gradient echo sequences using an adaptive model

A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems

Toward constructive methods for sigmoidal neural networks - function approximation in engineering mechanics applications

A new efficient SVM and its application to real-time accurate eye localization

Kernel principal subspace Mahalanobis distances for outlier detection

Performance and features of Multi-Layer Perceptron with impulse glial network

Robust Jordan network for nonlinear time series prediction

Global stability analysis using the method of Reduction Of Dissipativity Domain

Magnetic resonance estimation of longitudinal relaxation time (T) in spoiled gradient echo using an adaptive neural network

Review of stability properties of neural plasticity rules for implementation on memristive neuromorphic hardware

Group lasso regularized multiple kernel learning for heterogeneous feature selection

Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians

Composite power system reliability evaluation using support vector machines on a multicore platform

Analysis and improvement of multiple optimal learning factors for feed-forward networks

Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware

Optimal output gain algorithm for feed-forward network training

Tangent space guided intelligent neighbor finding

A Hybrid Fuzzy Q-learning algorithm for robot navigation

A texture-based method for classifying cracked concrete surfaces from digital images using neural networks

Designing associative memories implemented via recurrent neural networks for pattern recognition

Evaluating dependence in spike train metric spaces

An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification

Turning Bayesian model averaging into Bayesian model combination

PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets

Problems of temporal granularity in robot control: Levels of adaptation and a necessity of self-confidence

Multiple memristor read and write circuit for neuromorphic applications

Gaze tracking based on pupil estimation using multilayer perception

Improving classification accuracy by identifying and removing instances that should be misclassified

Optimistic bias in the assessment of high dimensional classifiers with a limited dataset

BSOM network for pupil segmentation

Adaptive neuro-fuzzy control of dynamical systems

GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals

Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks

Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator

Semi-supervised learning in nonstationary environments

Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks

Development of a mix-design based Rapid Chloride Permeability assessment model using neuronets

Percolation in memristive networks

A rough-fuzzy hybrid approach on a Neuro-Fuzzy classifier for high dimensional data

Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks

A GPU based Parallel Hierarchical Fuzzy ART clustering

A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes

Decentralized neural block control for an industrial PA10-7CE robot arm

Where-What Network 5: Dealing with scales for objects in complex backgrounds

Fully complex-valued ELM classifiers for human action recognition

Traffic sign recognition with multi-scale Convolutional Networks

Model-based clustering with Hidden Markov Model regression for time series with regime changes

Synapse maintenance in the Where-What Networks

Ant Colony Optimization Changing the Rate of Dull Ants and its application to QAP

Integrating multi-sensory input in the body model — A RNN approach to connect visual features and motor control

Hierarchical discriminative sparse coding via bidirectional connections

Semi-supervised monitoring of electric load time series for unusual patterns

Adaptive self-protective motion based on reflex control

Active perception for action mirroring

Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning

A fast incremental Kernel Principal Component Analysis for learning stream of data chunks

A hierarchical, nonparametric, sequential change-detection test

Nonlinear adaptive flight control using sliding mode online learning

Metamodeling for large-scale optimization tasks based on object networks

Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition

Neuromorphic motivated systems

Blind signal separation in distributed space-time coding systems using the FastICA algorithm

A neural architecture to address Reinforcement Learning problems

Inferring method of the gene regulatory networks using neural networks adopting a majority rule

Visually-guided adaptive robot (ViGuAR)

Accelerated learning of Generalized Sammon Mappings

Synergistic organization of action: A computational model

Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO

A neurodynamical model of context-dependent category learning

Three theorems: Brain-like networks logically reason and optimally generalize

Real time vehicle speed prediction using a Neural Network Traffic Model

Audio visual cues in driver affect characterization: Issues and challenges in developing robust approaches

Optimization of fixed Wavelet Neural Networks

Reinforcement active learning hierarchical loops

Modeling dopamine and serotonin systems in a visual recognition network

The schizophrenic brain: A broken hermeneutic circle. Some new insights and results

Multinomial Squared Direction Cosines Regression

A novel multilayer neural network model for heat treatment of electroless Ni-P coatings

Reconfigurable N-level memristor memory design

A self-organizing neural scheme for road detection in varied environments

A hierarchical approach to represent relational data applied to clustering tasks

Inferring cascading network-power disruptions and sustainability

Semantic knowledge inference from online news media using an LDA-NLP approach

Optimizing the quality of bootstrap-based prediction intervals

A novel multilayer neural network model for TOA-based localization in wireless sensor networks

Modeling normal/epileptic brain dynamics with potential application in titration therapy

“Back-to-basics”: Operationalizing data mining and visualization techniques for utilities

Application of neural networks in the classification of incipient faults in power transformers: A study of case

Triply fuzzy function approximation for Bayesian inference

Direct heuristic dynamic programming with augmented states

An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation

Connectivity and creativity in semantic neural networks

Random sampler M-estimator algorithm for robust function approximation via feed-forward neural networks

Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus

Exploring retrograde signaling via astrocytes as a mechanism for self repair

Are probabilistic spiking neural networks suitable for reservoir computing?

Hybrid neural-evolutionary model for electricity price forecasting

Exploring the relationship between degrees of self similarity and altered driving states

Noise benefits in the expectation-maximization algorithm: Nem theorems and models

Simulation of large neuronal networks with biophysically accurate models on graphics processors

Versatile neural network method for recovering shape from shading by model inclusive learning

Evolving recurrent neural networks are super-Turing

Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways

Modeling oxytocin induced neurorobotic trust and intent recognition in human-robot interaction

Generation of composed musical structures through recurrent neural networks based on chaotic inspiration

Neurodynamics and the mind

Hybrid model incorporating multiple scale dynamics for time series forecasting

Analysis of a memristor based 1T1M crossbar architecture

A distributed, bio-inspired coordination strategy for multiple agent systems applied to surveillance tasks in unknown environments

RANSAC algorithm with sequential probability ratio test for robust training of feed-forward neural networks

Neural networks as a path to self-awareness

Communicated somatic markers benefit both the individual and the species

Spectral decomposition methods for the analysis of MRS information from human brain tumors

The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries

Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets

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A nonparametric information theoretic approach for change detection in time series

Content Provider	IEEE Xplore Digital Library
Author	Songlin Zhao Principe, J.C.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, The University of Florida, Gainesville, USA (Songlin Zhao; Principe, J.C.)
Abstract	This paper presents an online nonparametric methodology based on the Kernel Least Mean Square (KLMS) algorithm and the surprise criterion, which is based on an information theoretic framework. Surprise quantifies the amount of information a datum contains given a known system state, and can be estimated online using Gaussian Process Theory. Based on this concept, we use the KLMS algorithm together with surprise criterion to detect regime change in nonstationary time series. We test the methodology on a synthesized chaotic time series to illustrate this criterion. The results show that surprise criterion is better than the conventional segmentation based on the error criterion.
Starting Page	1281
Ending Page	1284
File Size	294299
Page Count	4
File Format	PDF
ISBN	9781424496358
ISSN	21614407
e-ISBN	9781424496372
DOI	10.1109/IJCNN.2011.6033371
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Time series analysis Training Prediction algorithms Data models Computational modeling Gaussian processes
Content Type	Text
Resource Type	Article

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