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

  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6353
  • Izdošanas datums: 12-Aug-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642158223
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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6353
  • Izdošanas datums: 12-Aug-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642158223
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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 1518, 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.
Kernel Algorithms - Support Vector Machines
Convergence Improvement of Active Set Training for Support Vector Regressors
1(10)
Shigeo Abe
Ryousuke Yabuwaki
The Complex Gaussian Kernel LMS Algorithm
11(10)
Pantelis Bouboulis
Sergios Theodoridis
Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus
21(9)
Fotis Maris
Lazaros Iliadis
Stavros Tachos
Athanasios Loukas
Iliana Spartali
Apostolos Vassileiou
Elias Pimenidis
Faster Directions for Second Order SMO
30(10)
Alvaro Barbero
Jose R. Dorronsoro
Almost Random Projection Machine with Margin Maximization
40(9)
Tomasz Maszczyk
Wlodzislaw Duch
A New Tree Kernel Based on SOM-SD
49(10)
Fabio Aiolli
Giovanni Da San Martino
Alessandro Sperduti
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
59(11)
Marco Signoretto
Lieven De Lathauwer
Johan A.K. Suykens
Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs
70(6)
Mohamed Farouk Abdel Hady
Martin Schels
Friedhelm Schwenker
Gunther Palm
An Online Incremental Learning Support Vector Machine for Large-Scale Data
76(6)
Jun Zheng
Hui Yu
Furao Shen
Jinxi Zhao
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms
82(6)
Jorge Lopez
Jose R. Dorronsoro
The Support Feature Machine for Classifying with the Least Number of Features
88(6)
Sascha Klement
Thomas Martinetz
Knowledge Engineering and Decision Making
Hidden Markov Model for Human Decision Process in a Partially Observable Environment
94(10)
Masahiro Adomi
Yumi Shikauchi
Shin Ishii
Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study
104(10)
Rafael V. Borges
Artur d'Avila Garcez
Luis C. Lamb
Recurrent ANN
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
114(10)
Mandy Gruttner
Frank Sehnke
Tom Schaul
Jurgen Schmidhuber
Layered Motion Segmentation with a Competitive Recurrent Network
124(10)
Julian Eggert
Joerg Deigmoeller
Volker Willert
Selection of Training Data for Locally Recurrent Neural Network
134(4)
Krzysztof Patan
Maciej Patan
A Statistical Approach to Image Reconstruction from Projections Problem Using Recurrent Neural Network
138(4)
Robert Cierniak
A Computational System of Metaphor Generation with Evaluation Mechanism
142(6)
Asuka Terai
Masanori Nakagawa
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks
148(6)
Christian Emmerich
Rene Felix Reinhart
Jochen Jakob Steil
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
154(6)
Moez Baccouche
Franck Mamalet
Christian Wolf
Christophe Garcia
Atilla Baskurt
Reinforcement Learning
A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses
160(10)
Karim El-Laithy
Martin Bogdan
An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks
170(10)
Milton Roberto Heinen
Paulo Martins Engel
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
180(10)
Kevin Brohan
Kevin Gurney
Piotr Dudek
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
190(10)
Christian Vollmer
Erik Schaffernicht
Horst-Michael Gross
An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic
200(4)
Klaus Haming
Gabriele Peters
One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS
204(6)
Johane Takeuchi
Hiroshi Tsujino
An Oscillatory Neural Network Model for Birdsong Learning and Generation
210(6)
Maya Manaithunai
Srinivasa Chakravarthy
Ravindran Balaraman
A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation
216(6)
Deepika Sukumar
Srinivasa Chakravarthy
Reinforcement Learning Based Neural Controllers for Dynamic Processes wihtout Exploration
222(6)
Frank-Florian Steege
Andre Hartmann
Erik Schaffernicht
Horst-Michael Gross
A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning
228(6)
Selin Metin
Neslihan Serap Sengor
Robotics
Teaching Humanoids to Imitate `Shapes' of Movements
234(11)
Vishwanathan Mohan
Giorgio Metta
Jacopo Zenzeri
Pietro Morasso
The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent
245(11)
Renan C. Moioli
Patricia A. Vargas
Phil Husbands
Integrative Learning between Language and Action: A Neuro-Robotics Experiment
256(10)
Hiroaki Arie
Tetsuro Endo
Sungmoon Jeong
Minho Lee
Shigeki Sugano
Jun Tani
Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix
266(10)
Jakub Mozaryn
Jerzy E. Kurek
Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots
276(10)
Jose Hugo Barron-Zambrano
Cesar Torres-Huitzil
Bernard Girau
Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control
286(10)
Adriana Serbencu
Adrian Emanoil Serbencu
Daniela Cristina Cernega
A Novel Topological Map of Place Cells for Autonomous Robots
296(11)
Vilson L. DalleMole
Aluizio F.R. Araujo
Hybrid Control Structure for Multi-robot Formation
307(10)
Daniela Cristina Cernega
Razvan Solea
From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior
317(10)
Cyril Hasson
Philippe Gaussier
A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze
327(6)
Eleftherios Karapetsas
Demosthenes Stamatis
Self Organizing ANN
Generation of Comprehensible Representations by Supposed Maximum Information
333(10)
Ryotaro Kamimura
Visualization of Changes in Process Dynamics Using Self-Organizing Maps
343(10)
Ignacio Diaz
Abel A. Cuadrado
Alberto B. Diez
Manuel Dominguez
Juan J. Fuertes
Miguel A. Prada
Functional Architectures and Hierarchies of Time Scales
353(9)
Dionysios Perdikis
Marmaduke Woodman
Viktor Jirsa
A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation
362(10)
Konstantinos Bozas
Stavros I. Dimitriadis
Nikolaos A. Laskaris
Areti Tzelepi
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks
372(10)
Lucia Di Noi
Markus Hagenbuchner
Franco Scarselli
Ah Chung Tsoi
Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio Systems
382(10)
Aimilia Bantouna
Kostas Tsagkaris
Panagiotis Demestichas
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes
392(10)
Miguel A. Prada
Manuel Dominguez
Ignacio Diaz
Juan J. Fuertes
Perfecto Reguera
Antonio Moran
Serafin Alonso
Snap-Drift Self Organising Map
402(8)
Dominic Palmer-Brown
Chrisina Draganova
Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps
410(4)
Dimitrios Moshou
Dimitrios Kateris
Nader Sawalhi
Spyridon Loutridis
Ioannis Gravalos
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance
414(6)
Junmei Zhu
Urs Bergmann
Christoph von der Malsburg
A Self-Organizing Map for Controlling Artificial Locomotion
420(6)
Orivaldo V. Santana
Aluizio F.R. Araujo
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
426(6)
Rudolf Mayer
Andreas Rauber
Elementary Logical Reasoning in the SOM Output Space
432(6)
Jorge Ramon Letosa
Timo Honkela
Adaptive Algorithms - Systems
Adaptive Critic Design with ESN Critic for Bioprocess Optimization
438(10)
Petia Koprinkova-Hristova
Guenther Palm
Connecting Errors in Optical Data Transmission Using Neural Networks
448(10)
Stephen Hunt
Yi Sun
Alex Shafarenko
Rod Adams
Neil Davey
Brendan Slater
Ranjeet Bhamber
Sonia Boscolo
Sergei K. Turitsyn
Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management
458(10)
Cesare Alippi
Giacomo Boracchi
Manuel Roveri
Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning
468(11)
Shogo Okado
Toyoaki Nishida
Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds
479(7)
Luciano Alonso
Juan Perez-Oria
Monica Fernandez
Cristina Rodriguez
Jesus Arce
Manuel Ibarra
Victor Ordonez
Adaptive Local Fusion with Neural Networks
486(6)
Ahmed Chamseddine Ben Abdallah
Hichem Frigui
Paul Gader
A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues
492(6)
Miranda Grahl
Frank Joublin
Franz Kummert
Optimization
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing
498(8)
Qingshan Liu
Jun Wang
Optimizing Hierarchical Temporal Memory for Multivariable Time Series
506(13)
David Rozado
Francisco B. Rodriguez
Pablo Varona
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
519(6)
Jorge Igual
Jehad Ababneh
Raul Llinares
Julio Miro-Borras
Vicente Zarzoso
Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization Problem
525(6)
Yakov Karandashev
Boris Kryzhanovsky
An Artificial Immune Network for Multi-objective Optimization
531(6)
Aris Lanaridis
Andreas Stafylopatis
Author Index 537