1-9

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems

10-19

Kernel Learning for Local Learning Based Clustering

20-29

Projective Nonnegative Matrix Factorization with α-Divergence

30-39

Active Generation of Training Examples in Meta-Regression

40-49

A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains

50-59

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning

60-69

MINLIP: Efficient Learning of Transformation Models

70-79

Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data

80-89

Optimal Training Sequences for Locally Recurrent Neural Networks

90-99

Statistical Instance-Based Ensemble Pruning for Multi-class Problems

100-110

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes

111-120

Mixing Different Search Biases in Evolutionary Learning Algorithms

121-130

Semi-supervised Learning for Regression with Co-training by Committee

131-140

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data

141-150

Probability-Based Distance Function for Distance-Based Classifiers

151-160

Constrained Learning Vector Quantization or Relaxed k-Separability

161-170

Minimization of Quadratic Binary Functional with Additive Connection Matrix

171-180

Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory

181-190

Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses

191-197

Coexistence of Cell Assemblies and STDP

198-207

Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control

208-217

Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain

218-228

A Model of Neuronal Specialization Using Hebbian Policy-Gradient with “Slow” Noise

229-238

How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition

239-248

Optimizing Generic Neural Microcircuits through Reward Modulated STDP

249-258

Calcium Responses Model in Striatum Dependent on Timed Input Sources

259-266

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

267-276

Hippocampus, Amygdala and Basal Ganglia Based Navigation Control

277-286

A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks

287-295

Continuous Attractors of Lotka-Volterra Recurrent Neural Networks

296-305

Learning Complex Population-Coded Sequences

306-314

Structural Analysis on STDP Neural Networks Using Complex Network Theory

315-324

Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity

325-334

Information Processing and Timing Mechanisms in Vision

335-344

Review of Neuron Types in the Retina: Information Models for Neuroengineering

345-355

Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation

356-362

A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields

363-372

Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition

373-380

Multifold Acceleration of Neural Network Computations Using GPU

381-390

Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit

391-400

A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor

401-409

Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System

410-420

Minimising Contrastive Divergence with Dynamic Current Mirrors

421-428

Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis

429-438

Image Recognition in Analog VLSI with On-Chip Learning

439-448

Behavior Modeling by Neural Networks

449-458

Statistical Parameter Identification of Analog Integrated Circuit Reverse Models

459-466

A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials

467-474

FPGA Implementation of Support Vector Machines for 3D Object Identification

475-484

Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation

485-494

A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means

495-504

Image Theft Detection with Self-Organising Maps

505-514

Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns

515-524

Surface Reconstruction Method Based on a Growing Self-Organizing Map

525-535

Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps

536-545

Identifying Clusters Using Growing Neural Gas: First Results

546-556

Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning

557-566

Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems

567-576

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model

577-586

Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series

587-597

Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations

598-607

Height Defuzzification Method on L^∞ Space

608-617

An Additive Reinforcement Learning

618-627

Neural Spike Suppression by Adaptive Control of an Unknown Steady State

628-637

Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields

638-647

Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance

648-657

High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems

658-667

A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network

668-677

Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions

678-687

On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study

688-697

Dynamics of Incremental Learning by VSF-Network

698-707

Kernel CMAC with Reduced Memory Complexity

708-717

Model Complexity of Neural Networks and Integral Transforms

718-727

Function Decomposition Network

728-736

Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes

737-746

Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner’s Dilemma

747-756

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots

757-766

Switching Hidden Markov Models for Learning of Motion Patterns in Videos

767-778

Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals

779-788

A Neural Network Model of Metaphor Generation with Dynamic Interaction

789-798

Almost Random Projection Machine

799-806

Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance

807-816

Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method

817-823

Neuro-fuzzy Rough Classifier Ensemble

824-833

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset

834-843

An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation

844-853

Pattern Identification by Committee of Potts Perceptrons

854-863

Is Primal Better Than Dual

864-873

A Fast BMU Search for Support Vector Machine

874-883

European Option Pricing by Using the Support Vector Regression Approach

884-893

Learning SVMs from Sloppily Labeled Data

894-903

The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech

904-912

A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems

913-922

Spanning SVM Tree for Personalized Transductive Learning

923-931

Improving Text Classification Performance with Incremental Background Knowledge

932-941

Empirical Study of the Universum SVM Learning for High-Dimensional Data

942-951

Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection

952-963

Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity

964-974

An EM Based Training Algorithm for Recurrent Neural Networks

975-984

Modeling D_st with Recurrent EM Neural Networks

985-994

On the Quantification of Dynamics in Reservoir Computing

995-1004

Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks

1005-1014

Scalable Neural Networks for Board Games

1015-1024

Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems