## Artificial Neural Networks and Neural Information Processing - Icann/Iconip 2003: Joint International Conference Icann/Icinip 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings |

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### Contents

Adaptive Hopfield Network | 3 |

Effective Pruning Method for a Multiple Classifier System Based on SelfGenerating 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 |

A Simple Constructing Approach to Build P2P Global Computing Overlay Network | 605 |

Option Pricing with the Product Constrained Hybrid Neural Network | 615 |

SelfOrganizing 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 pHISFET 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 |

Differential ICA | 68 |

A Comparison of Model Aggregation Methods for Regression | 76 |

Linear LeastSquares Based Methods for Neural Networks Learning | 84 |

A Probabilistic Point of View | 92 |

Eliminating Dead Neurons in Competitive Learning | 99 |

Approximate Learning in Temporal Hidden Hopfield Models | 107 |

Finite Mixture Model of Bounded Seminaive Bayesian Network 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 OneClass Classification Problems | 140 |

Learning Distributed Representations of HighArity Relational Data with Nonlinear Relational Embedding | 149 |

Metalearning for Fast Incremental Learning | 157 |

ExpectationMiniMax 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 | 198 |

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 ThreeLayer 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 SelfOrganising Maps | 280 |

Hierarchical Bayesian Network for Handwritten Digit Recognition | 288 |

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 OneClass Classification | 342 |

Autoadaptive 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 Multiway Classification with TwoWay Classifiers | 375 |

Sparse Coding with Invariance Constraints | 383 |

A Neural Network Model with Backward Paths | 393 |

An Information Theoretic Unifying Objective Function for Topographic Mappings | 401 |

ShortTerm Memory Optical Flow Image | 409 |

A Hybrid MLPPNN Architecture for Fast Image Superresolution | 417 |

Recognition of Gestural Object Reference with Auditory Feedback | 425 |

Multichip Implementation of a Biomimetic VLSI Vision Sensor Based on the AdelsonBergen Algorithm | 433 |

Client Dependent GMMSVM Models for Speaker Verification | 441 |

Frequency and Wavelet Filtering for Robust Speech Recognition | 452 |

Unsupervised Learning of a Kinematic Arm Model | 461 |

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 SensoryMotor Coordination | 496 |

Learning Localisation Based on Landmarks Using SelfOrganisation | 504 |

Spatial Independent Component Analysis of MultitaskRelated Activation in fMRI Data | 515 |

Closed Loop Stability of FIRRecurrent Neural Networks | 523 |

Selective Noise Cancellation Using Independent Component Analysis | 530 |

Expert Mixture Methods for Adaptive Channel Equalization | 538 |

A Relaxation Algorithm Influenced by SelfOrganizing Maps | 546 |

A Gradient Network for Vector Quantization and Its Image Compression Applications | 554 |

Multiscale Switching Linear Dynamical Systems | 562 |

Model Selection with CrossValidations and Bootstraps Application to Time Series Prediction with RBFN Models | 570 |

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 TimeSeries Modeling | 597 |

Inversion of a Neural Network via Interval Arithmetic for Rule Extraction | 670 |

Implementation of Visual Attention System Using Bottomup Saliency Map Model | 678 |

A SelfGrowing Probabilistic DecisionBased Neural Network for AnchorSpeaker Identification | 686 |

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 | 719 |

Direction Selective TwoDimensional Analog Circuits Using Biomedical Vision Model | 729 |

Review of Capacitive Threshold Gate Implementations | 737 |

Constructive Threshold Logic Addition | 745 |

Neuromorphic Networks for Nanoelectronic Implementation | 753 |

An Extended Connectionist Model | 761 |

A Neural Model of Binding and Capacity in Visual Working Memory | 771 |

Input Anticipation May Lead to Advanced Adaptation Properties | 779 |

Acceleration of Game Learning with PredictionBased 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 SparselyConnected Recurrent Neural Network | 839 |

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 HighDimensional Data | 867 |

Learning Rule Representations from Boolean Data | 875 |

Incorporating User Feedback | 883 |

Classification and Tracking of Hypermedia Navigation Patterns | 891 |

SelfAware Networks and Quality of Service | 901 |

Drawing Attention to the Dangerous | 909 |

ASK Acquisition of Semantic Knowledge | 917 |

An Adaptable Gaussian NeuroFuzzy Classifier | 925 |

Knowledge Refinement Using Fuzzy Compositional Neural Networks | 933 |

Phase Singular Points Reduction by a Layered ComplexValued Neural Network in Combination with Constructive Fourier Synthesis | 943 |

Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network | 951 |

Adaptive Beamforming by Using ComplexValued Multi Layer Perceptron | 959 |

A ComplexValued Spiking Machine | 967 |

The Behavior of the Network Consisting of Two ComplexValued NagumoSato Neurons | 977 |

On Activation Functions for ComplexValued Neural Networks Existence of Energy Functions | 985 |

The Computational Power of ComplexValued Neuron | 993 |

Recommendation Models for User Accesses to Web Pages | 1003 |

A SpectralSpatial Classification Algorithm for Multispectral Remote Sensing Data | 1011 |

Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images | 1018 |

Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System GONNS | 1026 |

Building RBF Neural Network Topology through Potential Functions | 1033 |

Use of Magnetomyographic MMG Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring | 1041 |

Speed Enhancement with Soft Computing Hardware | 1049 |

Neural Networks Applied to Electromagnetic Compatibility EMC Simulations | 1057 |

Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks | 1064 |

Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques | 1073 |

An Evolutionary Approach | 1081 |

Indirect Differentiation of Function for a Network of Biologically Plausible Neurons | 1089 |

Application of Vision Models to Traffic Sign Recognition | 1100 |

An Intelligent Scheme for Facial Expression Recognition | 1106 |

Signal Enhancement for Continuous Speech Recognition | 1117 |

Towards an Integration of Linguistic Paralinguistic and Psychological Analysis | 1125 |

An Emotional Recognition Architecture Based on Human Brain Structure | 1133 |

Neural Network Ensemble with Negatively Correlated Features for Cancer Classification | 1141 |

Feature Analysis and Classification of Protein Secondary Structure Data | 1151 |

Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture | 1159 |

Machine Learning for Multiclass Protein Fold Classification Based on Neural Networks with Feature Gating | 1168 |

Some New Features for Protein Fold Prediction | 1176 |

1185 | |

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### Common terms and phrases

activation adaptive algorithm analysis applied approach approximation architecture Artificial Neural Networks backpropagation basis functions Bayesian Berlin Heidelberg 2003 cells classifier clustering complex corresponding cross-validation data set database defined dimensional distribution dynamic equation error estimation evaluation example filter fuzzy Gabor filter Gaussian given gradient graph hidden layer Hopfield Hopfield network ICANN/ICONIP 2003 IEEE implemented independent component independent component analysis initial input iteration Kaynak kernel learning linear LNCS Machine Learning matrix method module neurons node noise nonlinear objects obtained optical flow optimization output parameters patterns performance pixel prediction problem Proc proposed receptive fields representation sampling selection self-organizing self-organizing maps sequence signal simulation space sparse coding spike Springer-Verlag Berlin Heidelberg step structure Support Vector Machines target technique threshold tion training set unsupervised learning update variables visual weights