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ORCID20. ICANN 2010: Thessaloniki, Greece
- Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6353, Springer 2010, ISBN 978-3-642-15821-6
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, V. 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 Cipriano 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, César 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, Aluízio 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 Alberto 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, Michael 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 Álvarez, 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, Aluízio 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 Fernandez, 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 M. 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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