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Artificial Neural Networks – ICANN 2010 (Record no. 19365)

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fixed length control field 09376nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-642-15822-3
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170515111739.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642158223
-- 978-3-642-15822-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-15822-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Neural Networks – ICANN 2010
Medium [electronic resource] :
Remainder of title 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II /
Statement of responsibility, etc edited by Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 543 p. 217 illus.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 6353
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computation by Abstract Devices.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image Processing and Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Diamantaras, Konstantinos.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Duch, Wlodek.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Iliadis, Lazaros S.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642158216
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 0302-9743 ;
Volume number/sequential designation 6353
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-15822-3
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