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Véra Kurková, Roman Neruda and Jan Koutník
Front matter
1-10
Dimension Reduction for Mixtures of Exponential Families
11-20
Several Enhancements to Hermite-Based Approximation of One-Variable Functions
21-30
Multi-category Bayesian Decision by Neural Networks
31-40
Estimates of Network Complexity and Integral Representations
41-50
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios
51-60
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy
61-70
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory
71-78
Global Dynamics of Finite Cellular Automata
79-88
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training
89-98
A New Type of ART2 Architecture and Application to Color Image Segmentation
99-108
BICA: A Boolean Indepenedent Component Analysis Approach
109-118
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization
119-127
Manifold Construction Using the Multilayer Perceptron
128-135
Improving Performance of a Binary Classifier by Training Set Selection
136-144
An Overcomplete ICA Algorithm by InfoMax and InfoMin
145-154
OP-ELM: Theory, Experiments and a Toolbox
155-164
Robust Nonparametric Probability Density Estimation by Soft Clustering
165-174
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis
175-184
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation
185-194
The Influence of the Risk Functional in Data Classification with MLPs
195-204
Nonnegative Least Squares Learning for the Random Neural Network
205-214
Sparse Bayes Machines for Binary Classification
215-224
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution
225-234
Mixture of Expert Used to Learn Game Play
235-244
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences
245-254
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods
255-264
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis
265-274
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis
275-284
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set
285-294
New Results on Combination Methods for Boosting Ensembles
295-304
Batch Support Vector Training Based on Exact Incremental Training
305-314
A Kernel Method for the Optimization of the Margin Distribution
315-324
A 4–Vector MDM Algorithm for Support Vector Training
325-335
Implementation Issues of an Incremental and Decremental SVM
336-345
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM
346-356
Support Vector Machines for Visualization and Dimensionality Reduction
357-366
Multigrid Reinforcement Learning with Reward Shaping
367-376
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments
377-386
Robust Population Coding in Free-Energy-Based Reinforcement Learning
387-396
Policy Gradients with Parameter-Based Exploration for Control
397-406
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes
407-416
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression
417-425
Error-Entropy Minimization for Dynamical Systems Modeling
426-434
Hybrid Evolution of Heterogeneous Neural Networks
435-442
Ant Colony Optimization with Castes
443-451
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
452-461
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework
462-471
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?
472-481
Evolutionary Canonical Particle Swarm Optimizer – A Proposal of Meta-optimization in Model Selection
482-491
Building Localized Basis Function Networks Using Context Dependent Clustering
492-502
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics
503-512
Neuro-fuzzy System for Road Signs Recognition
513-522
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons
523-532
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors
533-542
Municipal Creditworthiness Modelling by Kohonen’s Self-Organizing Feature Maps and Fuzzy Logic Neural Networks
543-552
Implementing Boolean Matrix Factorization
553-561
Application of Potts-Model Perceptron for Binary Patterns Identification
562-571
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting
572-582
Matrix Learning for Topographic Neural Maps
583-592
Clustering Quality and Topology Preservation in Fast Learning SOMs
593-602
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization
603-612
Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps
613-622
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees
623-631
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity
632-641
Temporal Hebbian Self-Organizing Map for Sequences
642-651
FLSOM with Different Rates for Classification in Imbalanced Datasets
652-661
A Self-organizing Neural System for Background and Foreground Modeling
662-670
Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution
671-679
Decreasing Neighborhood Revisited in Self-Organizing Maps
680-689
A New GHSOM Model Applied to Network Security
690-699
Reduction of Visual Information in Neural Network Learning Visualization
700-709
Heuristiscs-Based High-Level Strategy for Multi-agent Systems
710-719
Echo State Networks for Online Prediction of Movement Data – Comparing Investigations
720-729
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem
730-739
Modular Neural Networks for Model-Free Behavioral Learning
740-749
From Exploration to Planning
750-758
Sentence-Level Evaluation Using Co-occurences of N-Grams
759-767
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation
768-777
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers
778-787
Predictive Modeling with Echo State Networks
788-797
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources
798-807
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
808-817
Stable Output Feedback in Reservoir Computing Using Ridge Regression
818-826
Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps
827-836
Image Classification by Histogram Features Created with Learning Vector Quantization
837-846
A Statistical Model for Histogram Refinement
847-856
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
857-866
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes
867-876
A Spatio-temporal Extension of the SUSAN-Filter
877-886
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection
887-896
A Hierarchic Method for Footprint Segmentation Based on SOM
897-906
Co-occurrence Matrixes for the Quality Assessment of Coded Images
907-916
Semantic Adaptation of Neural Network Classifiers in Image Segmentation
917-926
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms
927-936
A Neuro-fuzzy Approach to User Attention Recognition
937-950
TriangleVision: A Toy Visual System
951-960
Face Recognition with VG-RAM Weightless Neural Networks
961-970
Invariant Object Recognition with Slow Feature Analysis
971-981
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes
982-990
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects
991-1000
A Visual Object Recognition System Invariant to Scale and Rotation
1001-1010
Recognizing Facial Expressions: A Comparison of Computational Approaches
1011-1020
A Probabilistic Prediction Method for Object Contour Tracking
Back matter
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