Artificial Neural Networks and Neural Information Processing - ICANN/Iconip 2003 Book

	Adaptive Hopfield Network	3
	Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks	11
	Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing	19
	Independent Component Analysis Minimizing Convex Divergence	27
	Selecting Salient Features for Classification Committees	35
	Fast and Efficient Training of RBF Networks	43
	Loading Temporal Associative Memory Using the Neuronic Equation	52
	Learning Compatibility Functions for Feature Binding and Perceptual Grouping	60
	Differential ICA	68
	A Comparison of Model Aggregation Methods for Regression	76
	Linear Least-Squares Based Methods for Neural Networks Learning	84
	Optimal Hebbian Learning: A Probabilistic Point of View	92
	Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning	99
	Approximate Learning in Temporal Hidden Hopfield Models	107
	Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier	115
	System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning	123
	Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA	132
	Selective Sampling Methods in One-Class Classification Problems	140
	Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding	149
	Meta-learning for Fast Incremental Learning	157
	Expectation-MiniMax Approach to Clustering Analysis	165
	Formal Determination of Context in Contextual Recursive Cascade Correlation Networks	173
	Confidence Estimation Using the Incremental Learning Algorithm, Learn++	181
	Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization	189
	Generalization Error Analysis for Polynomial Kernel Methods Algebraic Geometrical Approach	201
	Regularized Kriging: The Support Vectors Method Applied to Kriging	209
	Support Vector Machine Classifiers for Asymmetric Proximities	217
	Fuzzy Model Identification Using Support Vector Clustering Method	225
	Human Splice Site Identification with Multiclass Support Vector Machines and Bagging	234
	Optimizing Property Codes in Protein Data Reveals Structural Characteristics	245
	Multicategory Bayesian Decision Using a Three-Layer Neural Network	253
	Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis	262
	Prior Hyperparameters in Bayesian PCA	271
	Relevance and Kernel Self-Organising Maps	280
	Hierarchical Bayesian Network for Handwritten Digit Recognition	291
	A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems	299
	Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application	307
	Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers	316
	Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory	325
	Supervised Locally Linear Embedding	333
	Feature Extraction for One-Class Classification	342
	Auto-adaptive and Dynamical Clustering Neural Network	350
	Transformations of Symbolic Data for Continuous Data Oriented Models	359
	Comparing Fuzzy Data Sets by Means of Graph Matching Technique	367
	How to Do Multi-way Classification with Two-Way Classifiers	375
	Sparse Coding with Invariance Constraints	385
	Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths	393
	The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings	401
	Short-Term Memory Optical Flow Image	409
	A Hybrid MLP-PNN Architecture for Fast Image Superresolution	417
	Recognition of Gestural Object Reference with Auditory Feedback	425
	Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm	433
	Client Dependent GMM-SVM Models for Speaker Verification	443
	Frequency and Wavelet Filtering for Robust Speech Recognition	452
	Unsupervised Learning of a Kinematic Arm Model	463
	A Design of CMAC Based Intelligent PID Controllers	471
	Learning to Control at Multiple Time Scales	479
	The Evolution of Modular Artificial Neural Networks for Legged Robot Control	488
	Dimensionality Reduction through Sensory-Motor Coordination	496
	Learning Localisation Based on Landmarks Using Self-Organisation	504
	Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data	515
	Closed Loop Stability of FIR-Recurrent Neural Networks	523
	Selective Noise Cancellation Using Independent Component Analysis	530
	Expert Mixture Methods for Adaptive Channel Equalization	538
	A Relaxation Algorithm Influenced by Self-Organizing Maps	546
	A Gradient Network for Vector Quantization and Its Image Compression Applications	554
	Multi-scale Switching Linear Dynamical Systems	562
	Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models	573
	A Hybrid Neural Architecture and Its Application to Temperature Prediction	581
	Risk Management Application of the Recurrent Mixture Density Network Models	589
	Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling	597
	A Simple Constructing Approach to Build P2P Global Computing Overlay Network	607
	Option Pricing with the Product Constrained Hybrid Neural Network	615
	Self-Organizing Operator Maps in Complex System Analysis	622
	Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms	630
	Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements	638
	Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances	646
	Selecting and Ranking Time Series Models Using the NOEMON Approach	654
	Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach	662
	Inversion of a Neural Network via Interval Arithmetic for Rule Extraction	670
	Implementation of Visual Attention System Using Bottom-up Saliency Map Model	678
	A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification	686
	Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data	695
	Protein Sequence Classification Using Probabilistic Motifs and Neural Networks	702
	On a Dynamic Wavelet Network and Its Modeling Application	710
	Low Power Digital Neuron for SOM Implementations	721
	Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model	729
	Review of Capacitive Threshold Gate Implementations	737
	Constructive Threshold Logic Addition (A Synopsis of the Last Decade)	745
	CrossNets: Neuromorphic Networks for Nanoelectronic Implementation	753
	The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model	763
	A Neural Model of Binding and Capacity in Visual Working Memory	771
	Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties	779
	Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior-	786
	The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia	797
	Optimal Coding for Naturally Occurring Whisker Deflections	805
	Object Localisation Using Laterally Connected "What" and "Where" Associator Networks	813
	Influence of Membrane Warp on Pulse Propagation Time	821
	Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism	830
	Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network	839
	The Spike Response Model: A Framework to Predict Neuronal Spike Trains	846
	Roles of Motion and Form in Biological Motion Recognition	854
	Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data	867