1-10

Dimension Reduction for Mixtures of Exponential Families

11-20

Several Enhancements to Hermite-Based Approximation of One-Variable Functions

21-30

Multi-category Bayesian Decision by Neural Networks

31-40

Estimates of Network Complexity and Integral Representations

41-50

Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios

51-60

Generalization of Concave and Convex Decomposition in Kikuchi Free Energy

61-70

Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory

71-78

Global Dynamics of Finite Cellular Automata

79-88

Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training

89-98

A New Type of ART2 Architecture and Application to Color Image Segmentation

99-108

BICA: A Boolean Indepenedent Component Analysis Approach

109-118

Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization

119-127

Manifold Construction Using the Multilayer Perceptron

128-135

Improving Performance of a Binary Classifier by Training Set Selection

136-144

An Overcomplete ICA Algorithm by InfoMax and InfoMin

145-154

OP-ELM: Theory, Experiments and a Toolbox

155-164

Robust Nonparametric Probability Density Estimation by Soft Clustering

165-174

Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis

175-184

Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation

185-194

The Influence of the Risk Functional in Data Classification with MLPs

195-204

Nonnegative Least Squares Learning for the Random Neural Network

205-214

Sparse Bayes Machines for Binary Classification

215-224

Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution

225-234

Mixture of Expert Used to Learn Game Play

235-244

Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences

245-254

Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods

255-264

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis

265-274

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis

275-284

Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set

285-294

New Results on Combination Methods for Boosting Ensembles

295-304

Batch Support Vector Training Based on Exact Incremental Training

305-314

A Kernel Method for the Optimization of the Margin Distribution

315-324

A 4–Vector MDM Algorithm for Support Vector Training

325-335

Implementation Issues of an Incremental and Decremental SVM

336-345

Online Clustering of Non-stationary Data Using Incremental and Decremental SVM

346-356

Support Vector Machines for Visualization and Dimensionality Reduction

357-366

Multigrid Reinforcement Learning with Reward Shaping

367-376

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments

377-386

Robust Population Coding in Free-Energy-Based Reinforcement Learning

387-396

Policy Gradients with Parameter-Based Exploration for Control

397-406

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes

407-416

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression

417-425

Error-Entropy Minimization for Dynamical Systems Modeling

426-434

Hybrid Evolution of Heterogeneous Neural Networks

435-442

Ant Colony Optimization with Castes

443-451

Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms

452-461

Analysis of Vestibular-Ocular Reflex by Evolutionary Framework

462-471

Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?

472-481

Evolutionary Canonical Particle Swarm Optimizer – A Proposal of Meta-optimization in Model Selection

482-491

Building Localized Basis Function Networks Using Context Dependent Clustering

492-502

Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics

503-512

Neuro-fuzzy System for Road Signs Recognition

513-522

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

523-532

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors

533-542

Municipal Creditworthiness Modelling by Kohonen’s Self-Organizing Feature Maps and Fuzzy Logic Neural Networks

543-552

Implementing Boolean Matrix Factorization

553-561

Application of Potts-Model Perceptron for Binary Patterns Identification

562-571

Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting

572-582

Matrix Learning for Topographic Neural Maps

583-592

Clustering Quality and Topology Preservation in Fast Learning SOMs

593-602

Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization

603-612

Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps

613-622

Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees

623-631

Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity

632-641

Temporal Hebbian Self-Organizing Map for Sequences

642-651

FLSOM with Different Rates for Classification in Imbalanced Datasets

652-661

A Self-organizing Neural System for Background and Foreground Modeling

662-670

Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution

671-679

Decreasing Neighborhood Revisited in Self-Organizing Maps

680-689

A New GHSOM Model Applied to Network Security

690-699

Reduction of Visual Information in Neural Network Learning Visualization

700-709

Heuristiscs-Based High-Level Strategy for Multi-agent Systems

710-719

Echo State Networks for Online Prediction of Movement Data – Comparing Investigations

720-729

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem

730-739

Modular Neural Networks for Model-Free Behavioral Learning

740-749

From Exploration to Planning

750-758

Sentence-Level Evaluation Using Co-occurences of N-Grams

759-767

Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation

768-777

ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers

778-787

Predictive Modeling with Echo State Networks

788-797

Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources

798-807

Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction

808-817

Stable Output Feedback in Reservoir Computing Using Ridge Regression

818-826

Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps

827-836

Image Classification by Histogram Features Created with Learning Vector Quantization

837-846

A Statistical Model for Histogram Refinement

847-856

Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach

857-866

Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes

867-876

A Spatio-temporal Extension of the SUSAN-Filter

877-886

A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection

887-896

A Hierarchic Method for Footprint Segmentation Based on SOM

897-906

Co-occurrence Matrixes for the Quality Assessment of Coded Images

907-916

Semantic Adaptation of Neural Network Classifiers in Image Segmentation

917-926

Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms

927-936

A Neuro-fuzzy Approach to User Attention Recognition

937-950

TriangleVision: A Toy Visual System

951-960

Face Recognition with VG-RAM Weightless Neural Networks

961-970

Invariant Object Recognition with Slow Feature Analysis

971-981

Analysis-by-Synthesis by Learning to Invert Generative Black Boxes

982-990

A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects

991-1000

A Visual Object Recognition System Invariant to Scale and Rotation

1001-1010

Recognizing Facial Expressions: A Comparison of Computational Approaches

1011-1020

A Probabilistic Prediction Method for Object Contour Tracking