Table of Contents

• Convergence Improvement of Active Set Training for Support Vector RegressorsShigeo Abe, Ryousuke Yabuwaki. 1-10 [doi]
• The Complex Gaussian Kernel LMS AlgorithmPantelis Bouboulis, Sergios Theodoridis. 11-20 [doi]
• Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in CyprusFotis P. Maris, Lazaros S. Iliadis, Stavros Tachos, Athanasios Loukas, Iliana Spartali, Apostolos Vasileiou, Elias Pimenidis. 21-29 [doi]
• Faster Directions for Second Order SMOÁlvaro Barbero Jiménez, José R. Dorronsoro. 30-39 [doi]
• Almost Random Projection Machine with Margin Maximization and Kernel FeaturesTomasz Maszczyk, Wlodzislaw Duch. 40-48 [doi]
• A New Tree Kernel Based on SOM-SDFabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti. 49-58 [doi]
• Kernel-Based Learning from Infinite Dimensional 2-Way TensorsMarco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens. 59-69 [doi]
• Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMsMohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm. 70-75 [doi]
• An Online Incremental Learning Support Vector Machine for Large-scale DataJun Zheng, Hui Yu, Furao Shen, Jinxi Zhao. 76-81 [doi]
• A Common Framework for the Convergence of the GSK, MDM and SMO AlgorithmsJorge López Lázaro, José R. Dorronsoro. 82-87 [doi]
• The Support Feature Machine for Classifying with the Least Number of FeaturesSascha Klement, Thomas Martinetz. 88-93 [doi]
• Hidden Markov Model for Human Decision Process in a Partially Observable EnvironmentMasahiro Adomi, Yumi Shikauchi, Shin Ishii. 94-103 [doi]
• Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case StudyRafael V. Borges, Artur S. d Avila Garcez, Luís C. Lamb. 104-113 [doi]
• Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy GradientsMandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber. 114-123 [doi]
• Layered Motion Segmentation with a Competitive Recurrent NetworkJulian Eggert, Joerg Deigmoeller, Volker Willert. 124-133 [doi]
• Selection of Training Data for Locally Recurrent Neural NetworkKrzysztof Patan, Maciej Patan. 134-137 [doi]
• A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural NetworkRobert Cierniak. 138-141 [doi]
• A Computational System of Metaphor Generation with Evaluation MechanismAsuka Terai, Masanori Nakagawa. 142-147 [doi]
• Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir NetworksChristian Emmerich, René Felix Reinhart, Jochen Jakob Steil. 148-153 [doi]
• Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural NetworksMoez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt. 154-159 [doi]
• A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent SynapsesKarim El-Laithy, Martin Bogdan. 160-169 [doi]
• An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning TasksMilton Roberto Heinen, Paulo Martins Engel. 170-179 [doi]
• Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual OrientingKevin Brohan, Kevin N. Gurney, Piotr Dudek. 180-189 [doi]
• Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement LearningChristian Vollmer, Erik Schaffernicht, Horst-Michael Gross. 190-199 [doi]
• An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued LogicKlaus Häming, Gabriele Peters. 200-203 [doi]
• One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SASJohane Takeuchi, Hiroshi Tsujino. 204-209 [doi]
• An Oscillatory Neural Network Model for Birdsong Learning and GenerationMaya Manaithunai, Srinivasa Chakravarthy, Ravindran Balaraman. 210-215 [doi]
• A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial NavigationDeepika Sukumar, Srinivasa Chakravarthy. 216-221 [doi]
• Reinforcement Learning Based Neural Controllers for Dynamic Processes without ExplorationFrank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross. 222-227 [doi]
• A Neurocomputational Model of Nicotine Addiction Based on Reinforcement LearningSelin Metin, Neslihan Serap Sengör. 228-233 [doi]
• Teaching Humanoids to Imitate Shapes of MovementsVishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri, Pietro Morasso. 234-244 [doi]
• The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive AgentRenan C. Moioli, Patrícia Amåncio Vargas, Phil Husbands. 245-255 [doi]
• Integrative Learning between Language and Action: A Neuro-Robotics ExperimentHiroaki Arie, Tetsuro Endo, Sungmoon Jeong, Minho Lee, Shigeki Sugano, Jun Tani. 256-265 [doi]
• Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia MatrixJakub Mozaryn, Jerzy E. Kurek. 266-275 [doi]
• Hardware Implementation of a CPG-Based Locomotion Control for Quadruped RobotsJose Hugo Barron-Zambrano, Cesar Torres-Huitzil, Bernard Girau. 276-285 [doi]
• Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking ControlAdriana Serbencu, Adrian Emanoil Serbencu, Daniela Cristina Cernega. 286-295 [doi]
• A Novel Topological Map of Place Cells for Autonomous RobotsVilson L. DalleMole, Aluizio F. R. Araújo. 296-306 [doi]
• Hybrid Control Structure for Multi-robot FormationDaniela Cernega, Razvan Solea. 307-316 [doi]
• From Conditioning of a Non Specific Sensor to Emotional Regulation of BehaviorCyril Hasson, Philippe Gaussier. 317-326 [doi]
• A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable MazeEleftherios Karapetsas, Demosthenes Stamatis. 327-332 [doi]
• Generation of Comprehensible Representations by Supposed Maximum InformationRyotaro Kamimura. 333-342 [doi]
• Visualization of Changes in Process Dynamics Using Self-Organizing MapsIgnacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez González, Manuel Domínguez-González, Juan J. Fuertes-Martínez, Miguel A. Prada. 343-352 [doi]
• Functional Architectures and Hierarchies of Time ScalesDionysios Perdikis, Marmaduke Woodman, Viktor Jirsa. 353-361 [doi]
• A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON RepresentationKonstantinos Bozas, Stavros I. Dimitriadis, Nikolaos A. Laskaris, Areti Tzelepi. 362-371 [doi]
• Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural NetworksLucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi. 372-381 [doi]
• Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio SystemsAimilia Bantouna, Kostas Tsagkaris, Panagiotis Demestichas. 382-391 [doi]
• Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial ProcessesMiguel A. Prada, Manuel Domínguez-González, Ignacio Díaz Blanco, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Antonio Morán, Serafín Alonso. 392-401 [doi]
• Snap-Drift Self Organising MapDominic Palmer-Brown, Chrisina Draganova. 402-409 [doi]
• Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing MapsDimitrios Moshou, Dimitrios Kateris, Nader Sawalhi, Spyridon Loutridis, Ioannis Gravalos. 410-413 [doi]
• Self-Organization of Steerable Topographic Mappings as Basis for Translation InvarianceJunmei Zhu, Urs Bergmann, Christoph von der Malsburg. 414-419 [doi]
• A Self-Organizing Map for Controlling Artificial LocomotionOrivaldo V. Santana, Aluizio F. R. Araújo. 420-425 [doi]
• Visualising Clusters in Self-Organising Maps with Minimum Spanning TreesRudolf Mayer, Andreas Rauber. 426-431 [doi]
• Elementary Logical Reasoning in the SOM Output SpaceJorge Ramón Letosa, Timo Honkela. 432-437 [doi]
• Adaptive Critic Design with ESN Critic for Bioprocess OptimizationPetia D. Koprinkova-Hristova, Günther Palm. 438-447 [doi]
• Correcting Errors in Optical Data Transmission Using Neural NetworksStephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn. 448-457 [doi]
• Adaptive Classifiers with ICI-Based Adaptive Knowledge Base ManagementCesare Alippi, Giacomo Boracchi, Manuel Roveri. 458-467 [doi]
• Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric LearningShogo Okada, Toyoaki Nishida. 468-478 [doi]
• Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on UltrasoundsLuciano Alonso, Juan Pérez-Oria, Mónica Fernández, Cristina Rodríguez, Jesús Arce, Manuel Ibarra, Víctor Ordoñez. 479-485 [doi]
• Adaptive Local Fusion with Neural NetworksAhmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader. 486-491 [doi]
• A Controlling Strategy for an Active Vision System Based on Auditory and Visual CuesMiranda Grahl, Frank Joublin, Franz Kummert. 492-497 [doi]
• A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path RoutingQingshan Liu, Jun Wang. 498-505 [doi]
• Optimizing Hierarchical Temporal Memory for Multivariable Time SeriesDavid Rozado, Francisco B. Rodriguez, Pablo Varona. 506-518 [doi]
• Solving Independent Component Analysis Contrast Functions with Particle Swarm OptimizationJorge Igual, Jehad I. Ababneh, Raul Llinares, Julio Miró-Borrás, Vicente Zarzoso. 519-524 [doi]
• Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization ProblemYakov Karandashev, Boris Kryzhanovsky. 525-530 [doi]
• An Artificial Immune Network for Multi-objective OptimizationAris Lanaridis, Andreas Stafylopatis. 531-536 [doi]