Artificial Neural Networks and Neural Information Processing ICANN/ICONIP 2003

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Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29,2003, Proceedings, 2 Bde, Lecture Notes in Computer Science 2714

ISBN: 3540404082
ISBN 13: 9783540404088
Herausgeber: Okyay Kaynak/Ethem Alpaydin/Erkki Oja et al
Verlag: Springer Verlag GmbH
Umfang: xliv, 1194 S., 909 s/w Illustr., 1194 p. 909 illus. In 2 volumes, not available separately.
Erscheinungsdatum: 16.06.2003
Auflage: 1/2003
Produktform: Mehrteiliges Produkt
Einband: Kartoniert

InhaltsangabeLearning Algorithms.- Adaptive Hopfield Network.- Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks.- Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing.- Independent Component Analysis Minimizing Convex Divergence.- Selecting Salient Features for Classification Committees.- Fast and Efficient Training of RBF Networks.- Loading Temporal Associative Memory Using the Neuronic Equation.- Learning Compatibility Functions for Feature Binding and Perceptual Grouping.- Differential ICA.- A Comparison of Model Aggregation Methods for Regression.- Linear Least-Squares Based Methods for Neural Networks Learning.- Optimal Hebbian Learning: A Probabilistic Point of View.- Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.- Approximate Learning in Temporal Hidden Hopfield Models.- Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.- System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.- Dimension Reduction Based on Orthogonality – A Decorrelation Method in ICA.- Selective Sampling Methods in One-Class Classification Problems.- Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding.- Meta-learning for Fast Incremental Learning.- Expectation-MiniMax Approach to Clustering Analysis.- Formal Determination of Context in Contextual Recursive Cascade Correlation Networks.- Confidence Estimation Using the Incremental Learning Algorithm, Learn++.- Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization.- SVM and Kernel Methods.- Generalization Error Analysis for Polynomial Kernel Methods – Algebraic Geometrical Approach.- Regularized Kriging: The Support Vectors Method Applied to Kriging.- Support Vector Machine Classifiers for Asymmetric Proximities.- Fuzzy Model Identification Using Support Vector Clustering Method.- Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.- Statistical Data Analysis.- Optimizing Property Codes in Protein Data Reveals Structural Characteristics.- Multicategory Bayesian Decision Using a Three-Layer Neural Network.- Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis.- Prior Hyperparameters in Bayesian PCA.- Relevance and Kernel Self-Organising Maps.- Pattern Recognition.- Hierarchical Bayesian Network for Handwritten Digit Recognition.- A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems.- Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application.- Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers.- Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory.- Supervised Locally Linear Embedding.- Feature Extraction for One-Class Classification.- Auto-adaptive and Dynamical Clustering Neural Network.- Transformations of Symbolic Data for Continuous Data Oriented Models.- Comparing Fuzzy Data Sets by Means of Graph Matching Technique.- How to Do Multi-way Classification with Two-Way Classifiers.- Vision.- Sparse Coding with Invariance Constraints.- Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths.- The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings.- Short-Term Memory Optical Flow Image.- A Hybrid MLP-PNN Architecture for Fast Image Superresolution.- Recognition of Gestural Object Reference with Auditory Feedback.- Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm.- Speech Recognition.- Client Dependent GMM-SVM Models for Speaker Verification.- Frequency and Wavelet Filtering for Robust Speech Recognition.- Robotics and Control.- Unsupervised Learning of a Kinematic Arm Model.- A Design of CMAC

Artikelnummer: 6978125 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

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E-Mail: juergen.hartmann@springer.com

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