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

EAN (ISBN-13): 9783642158216
ISBN (ISBN-10): 3642158218
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Berlin Heidelberg Core >1 >T
543 Pagine
Peso: 0,837 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2009-09-04T21:06:38+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-02-28T17:59:37+01:00 (Zurich)
ISBN/EAN: 9783642158216

ISBN - Stili di scrittura alternativi:
3-642-15821-8, 978-3-642-15821-6
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : duch, lazar, duc, konstantinos, lázár
Titolo del libro: conférence, international conference artificial neural networks, art net, thessaloniki

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Dati dell'editore

Autore: Konstantinos Diamantaras; Wlodek Duch; Lazaros S. Iliadis
Titolo: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Editore: Springer; Springer Berlin
543 Pagine
Anno di pubblicazione: 2010-09-03
Berlin; Heidelberg; DE
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 543 p. 217 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Hidden Markov Model; Markov Model; Support Vector Machine; algorithms; artificial intelligence; brain-computer interfaces; classification; computational neuroscience; evolutionary algorithms; genetic algorithms; knowledge engineering; machine learning; recurrent neural netw; robot vision; visualization; algorithm analysis and problem complexity; Artificial Intelligence; Theory of Computation; Algorithms; Automated Pattern Recognition; Computer and Information Systems Applications; Computer Vision; Theoretische Informatik; Algorithmen und Datenstrukturen; Mustererkennung; Angewandte Informatik; Maschinelles Sehen, Bildverstehen; EA

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 Networkfor 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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