Artificial neural networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings. Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (Eds.). 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 cooperat...
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| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer-Verlag,
[2010]
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| Series: | Lecture notes in computer science ;
6353. LNCS sublibrary. Theoretical computer science and general issues |
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Kernel Algorithms – Support Vector Machines:
- Convergence Improvement of Active Set Training for Support Vector Regressors / Shigeo Abe, Ryousuke Yabuwaki
- The Complex Gaussian Kernel LMS Algorithm / Pantelis Bouboulis, Sergios Theodoridis
- Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus / Fotis Maris, Lazaros Iliadis, Stavros Tachos, Athanasios Loukas, Iliana Spartali, Apostolos Vassileiou et al.
- Faster Directions for Second Order SMO / Álvaro Barbero, José R. Dorronsoro
- Almost Random Projection Machine with Margin Maximization and Kernel Features / Tomasz Maszczyk, Włodzisław Duch
- A New Tree Kernel Based on SOM-SD / Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
- Kernel-Based Learning from Infinite Dimensional 2-Way Tensors / Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
- Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs / Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm
- An Online Incremental Learning Support Vector Machine for Large-scale Data / Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao
- A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms / Jorge López, José R. Dorronsoro
- The Support Feature Machine for Classifying with the Least Number of Features / Sascha Klement, Thomas Martinetz
- Knowledge Engineering and Decision Making:
- Hidden Markov Model for Human Decision Process in a Partially Observable Environment / Masahiro Adomi, Yumi Shikauchi, Shin Ishii
- Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study / Rafael V. Borges, Artur d’Avila Garcez, Luis C. Lamb
- Recurrent ANN:
- Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients / Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber
- Layered Motion Segmentation with a Competitive Recurrent Network / Julian Eggert, Joerg Deigmoeller, Volker Willert
- Selection of Training Data for Locally Recurrent Neural Network / Krzysztof Patan, Maciej Patan
- A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network / Robert Cierniak
- A Computational System of Metaphor Generation with Evaluation Mechanism / Asuka Terai, Masanori Nakagawa
- Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks / Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil
- Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks / Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt
- Reinforcement Learning:
- A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses / Karim El-Laithy, Martin Bogdan
- An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks / Milton Roberto Heinen, Paulo Martins Engel
- Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting / Kevin Brohan, Kevin Gurney, Piotr Dudek
- Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning / Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross
- An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic / Klaus Häming, Gabriele Peters
- One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS / Johane Takeuchi, Hiroshi Tsujino
- An Oscillatory Neural Network Model for Birdsong Learning and Generation / Maya Manaithunai, Srinivasa Chakravarthy, Ravindran Balaraman
- A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation / Deepika Sukumar, Srinivasa Chakravarthy
- Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration / Frank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross
- A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning / Selin Metin, Neslihan Serap Şengör
- Robotics:
- Teaching Humanoids to Imitate ‘Shapes’ of Movements / 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 / Renan C. Moioli, Patricia A. Vargas, Phil Husbands
- Integrative Learning between Language and Action: A Neuro-Robotics Experiment / 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 / Jakub Możaryn, Jerzy E. Kurek
- Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots / Jose Hugo Barron-Zambrano, Cesar Torres-Huitzil, Bernard Girau
- Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control / Adriana Serbencu, Adrian Emanoil Serbencu, Daniela Cristina Cernega
- A Novel Topological Map of Place Cells for Autonomous Robots / Vilson L. DalleMole, Aluizio F. R. Araújo
- Hybrid Control Structure for Multi-robot Formation / Daniela Cernega, Razvan Solea
- From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior / Cyril Hasson, Philippe Gaussier
- A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze / Eleftherios Karapetsas, Demosthenes Stamatis
- Self Organizing ANN:
- Generation of Comprehensible Representations by Supposed Maximum Information / Ryotaro Kamimura
- Visualization of Changes in Process Dynamics Using Self-Organizing Maps / Ignacio Díaz, Abel A. Cuadrado, Alberto B. Diez, Manuel Domínguez, Juan J. Fuertes, Miguel A. Prada
- Functional Architectures and Hierarchies of Time Scales / Dionysios Perdikis, Marmaduke Woodman, Viktor Jirsa
- A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation / Konstantinos Bozas, Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi
- Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks / 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 / Aimilia Bantouna, Kostas Tsagkaris, Panagiotis Demestichas
- Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes / Miguel A. Prada, Manuel Domínguez, Ignacio Díaz, Juan J. Fuertes, Perfecto Reguera, Antonio Morán et al.
- Snap-Drift Self Organising Map / Dominic Palmer-Brown, Chrisina Draganova
- Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps / Dimitrios Moshou, Dimitrios Kateris, Nader Sawalhi, Spyridon Loutridis, Ioannis Gravalos
- Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance / Junmei Zhu, Urs Bergmann, Christoph von der Malsburg
- A Self-Organizing Map for Controlling Artificial Locomotion / Orivaldo V. Santana Jr., Aluizio F. R. Araújo
- Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees / Rudolf Mayer, Andreas Rauber
- Elementary Logical Reasoning in the SOM Output Space / Jorge Ramón Letosa, Timo Honkela
- Adaptive Algorithms – Systems:
- Adaptive Critic Design with ESN Critic for Bioprocess Optimization / Petia Koprinkova-Hristova, Guenther Palm
- Correcting Errors in Optical Data Transmission Using Neural Networks / Stephen Hunt, Yi Sun, Alex Shafarenko, Rod Adams, Neil Davey, Brendan Slater et al.
- Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management / Cesare Alippi, Giacomo Boracchi, Manuel Roveri
- Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning / Shogo Okada, Toyoaki Nishida
- Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds / Luciano Alonso, Juan Pérez-Oria, Mónica Fernández, Cristina Rodríguez, Jesús Arce, Manuel Ibarra et al.
- Adaptive Local Fusion with Neural Networks / Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul Gader
- A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues / Miranda Grahl, Frank Joublin, Franz Kummert
- Optimization:
- A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing / Qingshan Liu, Jun Wang
- Optimizing Hierarchical Temporal Memory for Multivariable Time Series / David Rozado, Francisco B. Rodriguez, Pablo Varona
- Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization / 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 / Yakov Karandashev, Boris Kryzhanovsky
- An Artificial Immune Network for Multi-objective Optimization / Aris Lanaridis, Andreas Stafylopatis.