th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.
Author(s): Shigeo Abe, Ryousuke Yabuwaki (auth.), Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
Series: Lecture Notes in Computer Science 6353 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 543
Tags: Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Pattern Recognition; Information Systems Applications (incl.Internet); Image Processing and Computer Vision
Front Matter....Pages -
Convergence Improvement of Active Set Training for Support Vector Regressors....Pages 1-10
The Complex Gaussian Kernel LMS Algorithm....Pages 11-20
Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus....Pages 21-29
Faster Directions for Second Order SMO....Pages 30-39
Almost Random Projection Machine with Margin Maximization and Kernel Features....Pages 40-48
A New Tree Kernel Based on SOM-SD....Pages 49-58
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors....Pages 59-69
Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs....Pages 70-75
An Online Incremental Learning Support Vector Machine for Large-scale Data....Pages 76-81
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms....Pages 82-87
The Support Feature Machine for Classifying with the Least Number of Features....Pages 88-93
Hidden Markov Model for Human Decision Process in a Partially Observable Environment....Pages 94-103
Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study....Pages 104-113
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients....Pages 114-123
Layered Motion Segmentation with a Competitive Recurrent Network....Pages 124-133
Selection of Training Data for Locally Recurrent Neural Network....Pages 134-137
A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network....Pages 138-141
A Computational System of Metaphor Generation with Evaluation Mechanism....Pages 142-147
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks....Pages 148-153
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks....Pages 154-159
A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses....Pages 160-169
An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks....Pages 170-179
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting....Pages 180-189
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning....Pages 190-199
An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic....Pages 200-203
One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS....Pages 204-209
An Oscillatory Neural Network Model for Birdsong Learning and Generation....Pages 210-215
A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation....Pages 216-221
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration....Pages 222-227
A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning....Pages 228-233
Teaching Humanoids to Imitate ‘Shapes’ of Movements....Pages 234-244
The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent....Pages 245-255
Integrative Learning between Language and Action: A Neuro-Robotics Experiment....Pages 256-265
Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix....Pages 266-275
Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots....Pages 276-285
Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control....Pages 286-295
A Novel Topological Map of Place Cells for Autonomous Robots....Pages 296-306
Hybrid Control Structure for Multi-robot Formation....Pages 307-316
From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior....Pages 317-326
A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze....Pages 327-332
Generation of Comprehensible Representations by Supposed Maximum Information....Pages 333-342
Visualization of Changes in Process Dynamics Using Self-Organizing Maps....Pages 343-352
Functional Architectures and Hierarchies of Time Scales....Pages 353-361
A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation....Pages 362-371
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks....Pages 372-381
Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio Systems....Pages 382-391
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes....Pages 392-401
Snap-Drift Self Organising Map....Pages 402-409
Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps....Pages 410-413
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance....Pages 414-419
A Self-Organizing Map for Controlling Artificial Locomotion....Pages 420-425
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees....Pages 426-431
Elementary Logical Reasoning in the SOM Output Space....Pages 432-437
Adaptive Critic Design with ESN Critic for Bioprocess Optimization....Pages 438-447
Correcting Errors in Optical Data Transmission Using Neural Networks....Pages 448-457
Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management....Pages 458-467
Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning....Pages 468-478
Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds....Pages 479-485
Adaptive Local Fusion with Neural Networks....Pages 486-491
A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues....Pages 492-497
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing....Pages 498-505
Optimizing Hierarchical Temporal Memory for Multivariable Time Series....Pages 506-518
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization....Pages 519-524
Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization Problem....Pages 525-530
An Artificial Immune Network for Multi-objective Optimization....Pages 531-536
Back Matter....Pages -
