Artificial Neural Networks – ICANN 2010 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Diamantaras, Konstantinos (Επιμελητής έκδοσης), Duch, Wlodek (Επιμελητής έκδοσης), Iliadis, Lazaros S. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6353
• Θέματα: Computer science.; Computers.; Algorithms.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; 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.

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 wi...

Πίνακας περιεχομένων:

• Kernel Algorithms – Support Vector Machines
• Convergence Improvement of Active Set Training for Support Vector Regressors
• The Complex Gaussian Kernel LMS Algorithm
• Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus
• Faster Directions for Second Order SMO
• Almost Random Projection Machine with Margin Maximization and Kernel Features
• A New Tree Kernel Based on SOM-SD
• Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
• Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs
• An Online Incremental Learning Support Vector Machine for Large-scale Data
• A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms
• The Support Feature Machine for Classifying with the Least Number of Features
• Knowledge Engineering and Decision Making
• Hidden Markov Model for Human Decision Process in a Partially Observable Environment
• Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study
• Recurrent ANN
• Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
• Layered Motion Segmentation with a Competitive Recurrent Network
• Selection of Training Data for Locally Recurrent Neural Network
• A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network
• A Computational System of Metaphor Generation with Evaluation Mechanism
• Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks
• Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
• Reinforcement Learning
• A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses
• An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks
• Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
• Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
• An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic
• One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS
• An Oscillatory Neural Network Model for Birdsong Learning and Generation
• A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation
• Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
• A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning
• Robotics
• Teaching Humanoids to Imitate ‘Shapes’ of Movements
• The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent
• Integrative Learning between Language and Action: A Neuro-Robotics Experiment
• Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix
• Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots
• Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control
• A Novel Topological Map of Place Cells for Autonomous Robots
• Hybrid Control Structure for Multi-robot Formation
• From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior
• A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze
• Self Organizing ANN
• Generation of Comprehensible Representations by Supposed Maximum Information
• Visualization of Changes in Process Dynamics Using Self-Organizing Maps
• Functional Architectures and Hierarchies of Time Scales
• A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation
• Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks
• Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio Systems
• Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes
• Snap-Drift Self Organising Map
• Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps
• Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance
• A Self-Organizing Map for Controlling Artificial Locomotion
• Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
• Elementary Logical Reasoning in the SOM Output Space
• Adaptive Algorithms – Systems
• Adaptive Critic Design with ESN Critic for Bioprocess Optimization
• Correcting Errors in Optical Data Transmission Using Neural Networks
• Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management
• Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning
• Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds
• Adaptive Local Fusion with Neural Networks
• A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues
• Optimization
• A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing
• Optimizing Hierarchical Temporal Memory for Multivariable Time Series
• Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
• Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization Problem
• An Artificial Immune Network for Multi-objective Optimization.