Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I

Front Matter....Pages -
Generalization Error of Automatic Relevance Determination....Pages 1-10
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities....Pages 11-18
Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja’s Learning....Pages 19-28
Theoretical Analysis of Accuracy of Gaussian Belief Propagation....Pages 29-38
Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks....Pages 39-48
An Improved Greedy Bayesian Network Learning Algorithm on Limited Data....Pages 49-57
Incremental One-Class Learning with Bounded Computational Complexity....Pages 58-67
Estimating the Size of Neural Networks from the Number of Available Training Data....Pages 68-77
A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture....Pages 78-87
Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation....Pages 88-97
Neural Network Ensemble Training by Sequential Interaction....Pages 98-108
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification....Pages 109-118
Structure Learning with Nonparametric Decomposable Models....Pages 119-128
Recurrent Bayesian Reasoning in Probabilistic Neural Networks....Pages 129-138
Resilient Approximation of Kernel Classifiers....Pages 139-148
Incremental Learning of Spatio-temporal Patterns with Model Selection....Pages 149-158
Accelerating Kernel Perceptron Learning....Pages 159-168
Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture....Pages 169-179
Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network....Pages 180-189
A Fast Semi-linear Backpropagation Learning Algorithm....Pages 190-198
Improving the GRLVQ Algorithm by the Cross Entropy Method....Pages 199-208
Incremental and Decremental Learning for Linear Support Vector Machines....Pages 209-218
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors....Pages 219-228
Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System....Pages 229-238
Input Selection for Radial Basis Function Networks by Constrained Optimization....Pages 239-248
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate....Pages 249-258
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks....Pages 259-268
Some Properties of the Gaussian Kernel for One Class Learning....Pages 269-278
Improved SOM Learning Using Simulated Annealing....Pages 279-288
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization....Pages 289-298
Designing Modular Artificial Neural Network Through Evolution....Pages 299-308
Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks....Pages 309-318
Selection of Decision Stumps in Bagging Ensembles....Pages 319-328
An Ensemble Dependence Measure....Pages 329-338
Boosting Unsupervised Competitive Learning Ensembles....Pages 339-348
Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity....Pages 349-359
SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks....Pages 360-369
Evolutionary Multi-objective Optimization of Spiking Neural Networks....Pages 370-379
Building a Bridge Between Spiking and Artificial Neural Networks....Pages 380-389
Clustering of Nonlinearly Separable Data Using Spiking Neural Networks....Pages 390-399
Implementing Classical Conditioning with Spiking Neurons....Pages 400-410
Deformable Radial Basis Functions....Pages 411-420
Selection of Basis Functions Guided by the L2 Soft Margin....Pages 421-430
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors....Pages 431-440
Functional Modelling of Large Scattered Data Sets Using Neural Networks....Pages 441-449
Stacking MF Networks to Combine the Outputs Provided by RBF Networks....Pages 450-459
Neural Network Processing for Multiset Data....Pages 460-470
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition....Pages 471-479
Partially Activated Neural Networks by Controlling Information....Pages 480-489
CNN Based Hole Filler Template Design Using Numerical Integration Techniques....Pages 490-500
Impact of Shrinking Technologies on the Activation Function of Neurons....Pages 501-510
Rectangular Basis Functions Applied to Imbalanced Datasets....Pages 511-519
Qualitative Radial Basis Function Networks Based on Distance Discretization for Classification Problems....Pages 520-528
A Control Approach to a Biophysical Neuron Model....Pages 529-538
Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity....Pages 539-548
Multi-dimensional Recurrent Neural Networks....Pages 549-558
FPGA Implementation of an Adaptive Stochastic Neural Model....Pages 559-568
Global Robust Stability of Competitive Neural Networks with Continuously Distributed Delays and Different Time Scales....Pages 569-578
Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes....Pages 579-588
Modeling of Dynamics Using Process State Projection on the Self Organizing Map....Pages 589-598
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks....Pages 599-608
Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps....Pages 609-617
Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences....Pages 618-627
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)....Pages 628-637
Cluster Domains in Binary Minimization Problems....Pages 638-647
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set....Pages 648-656
Generalized Softmax Networks for Non-linear Component Extraction....Pages 657-667
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis....Pages 668-676
Post Nonlinear Independent Subspace Analysis....Pages 677-686
Algebraic Geometric Study of Exchange Monte Carlo Method....Pages 687-696
Solving Deep Memory POMDPs with Recurrent Policy Gradients....Pages 697-706
Soft Clustering for Nonparametric Probability Density Function Estimation....Pages 707-716
Vector Field Approximation by Model Inclusive Learning of Neural Networks....Pages 717-726
Spectral Measures for Kernel Matrices Comparison....Pages 727-736
A Novel and Efficient Method for Testing Non Linear Separability....Pages 737-746
A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems....Pages 747-756
Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks....Pages 757-766
A Distributed Message Passing Algorithm for Sensor Localization....Pages 767-775
An Analytical Model of Divisive Normalization in Disparity-Tuned Complex Cells....Pages 776-787
Automatic Design of Modular Neural Networks Using Genetic Programming....Pages 788-798
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints....Pages 799-808
Meta Learning Intrusion Detection in Real Time Network....Pages 809-816
Active Learning to Support the Generation of Meta-examples....Pages 817-826
Co-learning and the Development of Communication....Pages 827-837
Models of Orthogonal Type Complex-Valued Dynamic Associative Memories and Their Performance Comparison....Pages 838-847
Dynamics of Discrete-Time Quaternionic Hopfield Neural Networks....Pages 848-857
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices....Pages 858-863
Optimal Learning Rates for Clifford Neurons....Pages 864-873
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)....Pages 874-883
Error Reduction in Holographic Movies Using a Hybrid Learning Method in Coherent Neural Networks....Pages 884-893
Sparse and Transformation-Invariant Hierarchical NMF....Pages 894-903
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying....Pages 904-913
Polynomial Cellular Neural Networks for Implementing the Game of Life....Pages 914-923
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model....Pages 924-933
The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences....Pages 934-943
Clustering Limit Cycle Oscillators by Spectral Analysis of the Synchronisation Matrix with an Additional Phase Sensitive Rotation....Pages 944-953
Control and Synchronization of Chaotic Neurons Under Threshold Activated Coupling....Pages 954-962
Neuronal Multistability Induced by Delay....Pages 963-972
Back Matter....Pages -