20. ICANN 2010: Thessaloniki, Greece

Kernel Algorithms - Support Vector Machines

• Shigeo Abe, Ryousuke Yabuwaki:
  Convergence Improvement of Active Set Training for Support Vector Regressors. 1-10
  
• Pantelis Bouboulis, Sergios Theodoridis:
  The Complex Gaussian Kernel LMS Algorithm. 11-20
  
• Fotis P. Maris, Lazaros S. Iliadis, Stavros Tachos, Athanasios G. Loukas, Iliana Spartali, Apostolos Vasileiou, Elias Pimenidis:
  Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus. 21-29
  
• Álvaro Barbero Jiménez, José R. Dorronsoro:
  Faster Directions for Second Order SMO. 30-39
  
• Tomasz Maszczyk, Wlodzislaw Duch:
  Almost Random Projection Machine with Margin Maximization and Kernel Features. 40-48
  
• Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
  A New Tree Kernel Based on SOM-SD. 49-58
  
• Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens:
  Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. 59-69
  
• Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm:
  Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs. 70-75
  
• Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao:
  An Online Incremental Learning Support Vector Machine for Large-scale Data. 76-81
  
• Jorge López Lázaro, José R. Dorronsoro:
  A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. 82-87
  
• Sascha Klement, Thomas Martinetz:
  The Support Feature Machine for Classifying with the Least Number of Features. 88-93
  

Knowledge Engineering and Decision Making

• Masahiro Adomi, Yumi Shikauchi, Shin Ishii:
  Hidden Markov Model for Human Decision Process in a Partially Observable Environment. 94-103
  
• Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb:
  Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. 104-113
  

Recurrent ANN

• Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber:
  Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients. 114-123
  
• Julian Eggert, Joerg Deigmoeller, Volker Willert:
  Layered Motion Segmentation with a Competitive Recurrent Network. 124-133
  
• Krzysztof Patan, Maciej Patan:
  Selection of Training Data for Locally Recurrent Neural Network. 134-137
  
• Robert Cierniak:
  A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network. 138-141
  
• Asuka Terai, Masanori Nakagawa:
  A Computational System of Metaphor Generation with Evaluation Mechanism. 142-147
  
• Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil:
  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. 148-153
  
• Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt:
  Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks. 154-159
  

Reinforcement Learning

• Karim El-Laithy, Martin Bogdan:
  A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses. 160-169
  
• Milton Roberto Heinen, Paulo Martins Engel:
  An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks. 170-179
  
• Kevin Brohan, Kevin N. Gurney, Piotr Dudek:
  Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting. 180-189
  
• Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross:
  Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning. 190-199
  
• Klaus Häming, Gabriele Peters:
  An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic. 200-203
  
• Johane Takeuchi, Hiroshi Tsujino:
  One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS. 204-209
  
• Maya Manaithunai, Srinivasa Chakravarthy, Balaraman Ravindran:
  An Oscillatory Neural Network Model for Birdsong Learning and Generation. 210-215
  
• Deepika Sukumar, Srinivasa Chakravarthy:
  A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation. 216-221
  
• Frank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross:
  Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration. 222-227
  
• Selin Metin, Neslihan Serap Sengör:
  A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning. 228-233
  

Robotics

• Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri, Pietro Morasso:
  Teaching Humanoids to Imitate 'Shapes' of Movements. 234-244
  
• Renan C. Moioli, Patrícia Amâncio Vargas, Phil Husbands:
  The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent. 245-255
  
• Hiroaki Arie, Tetsuro Endo, Sungmoon Jeong, Minho Lee, Shigeki Sugano, Jun Tani:
  Integrative Learning between Language and Action: A Neuro-Robotics Experiment. 256-265
  
• Jakub Mozaryn, Jerzy E. Kurek:
  Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix. 266-275
  
• Jose Hugo Barron-Zambrano, Cesar Torres-Huitzil, Bernard Girau:
  Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots. 276-285
  
• Adriana Serbencu, Adrian Emanoil Serbencu, Daniela Cristina Cernega:
  Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control. 286-295
  
• Vilson L. DalleMole, Aluizio F. R. Araújo:
  A Novel Topological Map of Place Cells for Autonomous Robots. 296-306
  
• Daniela Cernega, Razvan Solea:
  Hybrid Control Structure for Multi-robot Formation. 307-316
  
• Cyril Hasson, Philippe Gaussier:
  From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior. 317-326
  
• Eleftherios Karapetsas, Demosthenes Stamatis:
  A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze. 327-332
  

Self Organizing ANN

• Ryotaro Kamimura:
  Generation of Comprehensible Representations by Supposed Maximum Information. 333-342
  
• Ignacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez González, Manuel Domínguez-González, Juan J. Fuertes-Martínez, Miguel A. Prada:
  Visualization of Changes in Process Dynamics Using Self-Organizing Maps. 343-352
  
• Dionysios Perdikis, Marmaduke Woodman, Viktor K. Jirsa:
  Functional Architectures and Hierarchies of Time Scales. 353-361
  
• Konstantinos Bozas, Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi:
  A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation. 362-371
  
• Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
  Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. 372-381
  
• Aimilia Bantouna, Kostas Tsagkaris, Panagiotis Demestichas:
  Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio Systems. 382-391
  
• Miguel A. Prada, Manuel Domínguez-González, Ignacio Díaz Blanco, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Antonio Morán, Serafín Alonso:
  Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes. 392-401
  
• Dominic Palmer-Brown, Chrisina Draganova:
  Snap-Drift Self Organising Map. 402-409
  
• Dimitrios Moshou, Dimitrios Kateris, Nader Sawalhi, Spyridon Loutridis, Ioannis Gravalos:
  Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps. 410-413
  
• Junmei Zhu, Urs Bergmann, Christoph von der Malsburg:
  Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance. 414-419
  
• Orivaldo V. Santana, Aluizio F. R. Araújo:
  A Self-Organizing Map for Controlling Artificial Locomotion. 420-425
  
• Rudolf Mayer, Andreas Rauber:
  Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees. 426-431
  
• Jorge Ramón Letosa, Timo Honkela:
  Elementary Logical Reasoning in the SOM Output Space. 432-437
  

Adaptive Algorithms - Systems

• Petia D. Koprinkova-Hristova, Günther Palm:
  Adaptive Critic Design with ESN Critic for Bioprocess Optimization. 438-447
  
• Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn:
  Correcting Errors in Optical Data Transmission Using Neural Networks. 448-457
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. 458-467
  
• Shogo Okada, Toyoaki Nishida:
  Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning. 468-478
  
• Luciano Alonso, Juan Pérez-Oria, Mónica Fernández, Cristina Rodríguez, Jesús Arce, Manuel Ibarra, Víctor Ordoñez:
  Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds. 479-485
  
• Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
  Adaptive Local Fusion with Neural Networks. 486-491
  
• Miranda Grahl, Frank Joublin, Franz Kummert:
  A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues. 492-497
  

Optimization

• Qingshan Liu, Jun Wang:
  A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. 498-505
  
• David Rozado, Francisco B. Rodríguez, Pablo Varona:
  Optimizing Hierarchical Temporal Memory for Multivariable Time Series. 506-518
  
• Jorge Igual, Jehad I. Ababneh, Raul Llinares, Julio Miró-Borrás, Vicente Zarzoso:
  Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization. 519-524
  
• Yakov Karandashev, Boris Kryzhanovsky:
  Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization Problem. 525-530
  
• Aris Lanaridis, Andreas Stafylopatis:
  An Artificial Immune Network for Multi-objective Optimization. 531-536
  

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