NDLI: Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes

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Volume 2 - 2011

Cover Art - Volume 2

Copyright Page - Volume 2

Table of contents - Volume 2

Preface - Volume 2

Committee Lists - Volume 2

Program Committee - Volume 2

Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers

Manifold Learning and Recognition of Human Activity Using Body-Area Sensors

Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters

Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations

The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network

Role Model of Search in Agents' Parameter-Space

A Neural Network Model for Learning Data Stream with Multiple Class Labels

Adaptive Time Window Size to Track Concept Drift

Incremental Learning Based on Growing Gaussian Mixture Models

Unsupervised Grammar Induction of Clinical Report Sublanguage

Pattern Learning through Distant Supervision for Extraction of Protein-Residue Associations in the Biomedical Literature

Evaluating Distributional Semantic and Feature Selection for Extracting Relationships from Biological Text

Discriminative Optimization of String Similarity and Its Application to Biomedical Abbreviation Clustering

The DIEGO Lab Graph Based Gene Normalization System

Using Published Medical Results and Non-homogenous Data in Rule Learning

An EM Clustering Algorithm which Produces a Dual Representation

Comparison of Two Methods for Finding Biomedical Categories in Medline

Ranking Interactions for a Curation Task

Metric Learning for Music Symbol Recognition

Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections

Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine

Combining Visual and Acoustic Features for Music Genre Classification

Mood Classfication from Musical Audio Using User Group-Dependent Models

The Influence of Chord Duration Modeling on Chord and Local Key Extraction

Non-Linear Semantic Embedding for Organizing Large Instrument Sample Libraries

Automatic Detection of Excessive Glycemic Variability for Diabetes Management

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation

Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data

Predicting Patients Likely to Overstay in Hospitals

Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data

Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets

Charge Prediction of Lipid Fragments in Mass Spectrometry

Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach

Developing an Appropriate Data Normalization Method

Analysis of Microbiome Data across Inflammatory Bowel Disease Patients

A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates

3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy

Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam

The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients -- An in-silico Trial Using Machine Learning Techniques

Regional Normal Liver Tissue Density Changes in Patients Treated with Stereotactic Body Radiation Therapy for Liver Metastases

Multiple Kernel Learning on Time Series Data and Social Networks for Stock Price Prediction

An Automatic Multi-domain Thesauri Construction Method Based on LDA

Using Machine Learning to Detect Cyberbullying

Collaborative Filtering with CCAM

Learning to Tag from Logic Constraints in Hyperlinked Environments

Learning to Rank Using Markov Random Fields

Web Ad-Slot Offline Scheduling Using an Ant Colony Algorithm

Exploring Structural Features in Predicting Social Network Evolution

Extraction of Basic Patterns of Household Energy Consumption

Performance Analysis of a Hydrofoil with and without Leading Edge Slat

A Measure of Credibility of Solar Power Prediction

A New Control Method for dc-dc Converter by Neural Network Predictor with Repetitive Training

Comparison of Classification Techniques used in Machine Learning as Applied on Vocational Guidance Data

Transient States of the Multiscalar Controlled Double Fed Induction Generator in the Wind Farm

An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm

An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods

Energy Efficiency for Unmanned Aerial Vehicles

A Resource Entity Model Oriented Mobile Collaboration Environment

Benefits Analysis of Live Customer Support Chat in E-commerce Websites: Dimensions of a New Success Model for Live Customer Support Chat

Semi-supervised Feature Extraction Using Independent Factor Analysis

Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion

SVM Multi-classification of T2D/CVD Patients Using Biomarker Features

Estimation of PSF for a Shaking Blurred Image Using GA

Extended Finite-State Machine Induction Using SAT-Solver

Arabic Text-Dependent Speaker Verification for Mobile Devices Using Artificial Neural Networks

Choosing Best Fitness Function with Reinforcement Learning

Comparisons of Machine Learning Algorithms for Application Identification of Encrypted Traffic

Combining Corpus-Based Features for Selecting Best Natural Language Sentences

Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System

An Iris Recognition Approach based on Fuzzy Support Vector Machine

Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes

Street View Challenge: Identification of Commercial Entities in Street View Imagery

Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease

Author Index - Volume 2

Publisher's Information - Volume 2

Probabilistic clustering based on Langevin mixture

An N-Dimensional Neural Network tool for the real-time optimisation of accelerator parameters

Volume 1 - 2011

2010 Ninth International Conference on Machine Learning and Applications

2009 International Conference on Machine Learning and Applications

2008 Seventh International Conference on Machine Learning and Applications

Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

2006 5th International Conference on Machine Learning and Applications (ICMLA'06)

Fourth International Conference on Machine Learning and Applications (ICMLA'05)

2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes

Content Provider	IEEE Xplore Digital Library
Author	Kon, M.A. Nikolaev, N.
Copyright Year	2011
Abstract	We introduce a new discriminant analysis method (Empirical Discriminant Analysis or EDA) for binary classification in machine learning. Given a dataset of feature vectors, this method defines an empirical feature map transforming the training and test data into new data with components having Gaussian empirical distributions. This map is an empirical version of the Gaussian copula used in probability and mathematical finance. The purpose is to form a feature mapped dataset as close as possible to Gaussian, after which standard quadratic discriminants can be used for classification. We discuss this method in general, and apply it to some datasets in computational biology.
Starting Page	374
Ending Page	379
File Size	3148734
Page Count	6
File Format	PDF
ISBN	9781457721342
DOI	10.1109/ICMLA.2011.160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jacobian matrices Training Support vector machine classification copula discriminant Gaussian distribution Vectors cancer Random variables classification Joints
Content Type	Text
Resource Type	Article

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