Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings

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Springer Science & Business Media, Aug 25, 2008 - Computers - 1026 pages
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This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.

 

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Contents

Dimension Reduction for Mixtures of Exponential Families
1
Several Enhancements to HermiteBased Approximation of OneVariable Functions
11
Multicategory Bayesian Decision by Neural Networks
21
Estimates of Network Complexity and Integral
31
Reliability of CrossValidation for SVMs in HighDimensional Low Sample Size Scenarios
41
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy
51
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory
61
Global Dynamics of Finite Cellular Automata
71
Neuroinspired Speech Recognition with Recurrent Spiking Neurons
513
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Metaregressors
523
Kohonens SelfOrganizing Feature Maps and Fuzzy Logic Neural Networks
533
Implementing Boolean Matrix Factorization
543
Application of PottsModel Perceptron for Binary Patterns Identification
553
Using ARTMAPBased Ensemble Systems Designed by Three Variants of Boosting
562
Matrix Learning for Topographic Neural Maps
572
Clustering Quality and Topology Preservation in Fast Learning SOMs
583

Semisupervised Learning of TreeStructured RBF Networks Using Cotraining
79
A New Type of ART2 Architecture and Application to Color Image Segmentation
89
A Boolean Indepenedent Component Analysis Approach
99
LSTM Network by Estimating the Configuration
109
Manifold Construction Using the Multilayer Perceptron
119
Improving Performance of a Binary Classifier by Training Set Selection
128
An Overcomplete ICA Algorithm by InfoMax and InfoMin
136
Theory Experiments and a Toolbox
145
Robust Nonparametric Probability Density Estimation by Soft Clustering
155
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis
165
Programming for Subspace Selection in Kernel Regression Estimation
175
The Influence of the Risk Functional in Data Classification with MLPs
185
Nonnegative Least Squares Learning for the Random Neural Network
195
Sparse Bayes Machines for Binary Classification
205
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution
215
Mixture of Expert Used to Learn Game Play
225
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences
235
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and SelectionBased Methods
245
Bayesian YingYang Learning on Orthogonal Binary Factor Analysis
255
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis
265
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set
275
New Results on Combination Methods for Boosting Ensembles
285
Batch Support Vector Training Based on Exact Incremental Training
295
A Kernel Method for the Optimization of the Margin Distribution
305
A 4Vector MDM Algorithm for Support Vector Training
315
Implementation Issues of an Incremental and Decremental SVM
325
Online Clustering of Nonstationary Data Using Incremental and Decremental SVM
336
Support Vector Machines for Visualization and Dimensionality Reduction
346
Shaping Marek Grzesand DanielKudenko
357
Based on Policy Gradient in Nonstationary Environments
367
Robust Population Coding in FreeEnergyBased Reinforcement Learning
377
Policy Gradients with ParameterBased Exploration for Control
387
A Continuous InternalState Controller for Partially Observable Markov Decision Processes
397
Episodic Reinforcement Learning by Logistic RewardWeighted Regression
407
ErrorEntropy Minimization for Dynamical Systems Modeling
417
Hybrid Evolution of Heterogeneous Neural Networks
426
Ant Colony Optimization with Castes
435
Problems Using Multiobjective Genetic Algorithms
443
Analysis of VestibularOcular Reflex by Evolutionary Framework
452
Standard Techniques or Computational Intelligence Methods?
462
Evolutionary Canonical Particle Swarm Optimizer A Proposal of Metaoptimization in Model Selection
472
Building Localized Basis Function Networks Using Context Dependent Clustering
482
Adaptation of Connectionist Weighted Fuzzy Logic Programs with KripkeKleene Semantics
492
Neurofuzzy System for Road Signs Recognition
503
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization
593
Finding Interlingual Mappings Using SelfOrganizing Maps
603
Efficient Multiple Classifier System with Pruned SelfGenerating Neural Trees
613
Selforganized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity
623
Temporal Hebbian SelfOrganizing Map for Sequences
632
FLSOM with Different Rates for Classification in Imbalanced Datasets
642
A Selforganizing Neural System for Background and Foreground Modeling
652
Wavelet Decomposition of Time Series Generated during Its Execution
662
Decreasing Neighborhood Revisited in SelfOrganizing Maps
671
A New GHSOM Model Applied to Network Security
680
Reduction of Visual Information in Neural Network Learning Visualization
690
HeuristiscsBased HighLevel Strategy for Multiagent Systems
700
Echo State Networks for Online Prediction of Movement Data Comparing Investigations
710
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem
720
Modular Neural Networks for ModelFree Behavioral Learning
730
From Exploration to Planning
740
SentenceLevel Evaluation Using Cooccurences of NGrams
750
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation
759
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers
768
Predictive Modeling with Echo State Networks
778
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources
788
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
798
Stable Output Feedback in Reservoir Computing Using Ridge Regression
808
Spatiotemporal Summarizing Method of Periodic Image Sequences with Kohonen Maps
818
Image Classification by Histogram Features Created with Learning Vector Quantization
827
A Statistical Model for Histogram Refinement
837
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
847
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes
857
A Spatiotemporal Extension of the SUSANFilter
867
A NeighborhoodBased Competitive Network for Video Segmentation and Object Detection
877
Cooccurrence Matrixes for the Quality Assessment of Coded Images
897
Semantic Adaptation of Neural Network Classifiers in Image Segmentation
907
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms
917
A Neurofuzzy Approach to User Attention
927
A Toy Visual System
937
Face Recognition with VGRAM Weightless Neural Networks
951
Invariant Object Recognition with Slow Feature Analysis
961
AnalysisbySynthesis by Learning to Invert Generative Black Boxes
971
A Bioinspired Connectionist Architecture for Visual Classification of Moving Objects
982
A Visual Object Recognition System Invariant to Scale and Rotation
991
A Comparison of Computational Approaches
1001
A Probabilistic Prediction Method for Object Contour Tracking
1011
Author Index
1021
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