Artificial Neural Networks - ICANN 2010 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Diamantaras, Konstantinos (Editor ), Duch, Wlodek (Editor ), Iliadis, Lazaros S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Theoretical Computer Science and General Issues, 6353
Temas:
Artificial intelligence.
Computer science.
Algorithms.
Pattern recognition systems.
Application software.
Computer vision.
Artificial Intelligence.
Theory of Computation.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Computer Vision.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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