16. ICANN 2006: Athens, Greece
Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja (Eds.): Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I. Springer 2006 Lecture Notes in Computer Science ISBN 3-540-38625-4
Feature Selection and Dimension Reduction for Regression (Special Session)
- Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen: A Functional Approach to Variable Selection in Spectrometric Problems. 11-20
- Marek Kurzynski, Edward Puchala, Aleksander Rewak: The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm. 21-30
- Gert Van Dijck, Marc M. Van Hulle: Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. 31-40
- Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén: Effective Input Variable Selection for Function Approximation. 41-50
Learning Algorithms (I)
- Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. 61-70
- Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann: Learning Long Term Dependencies with Recurrent Neural Networks. 71-80
- Spiros Ioannou, Loïc Kessous, George Caridakis, Kostas Karpouzis, Vered Aharonson, Stefanos D. Kollias: Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition. 81-92
- Vincent Scesa, Patrick Henaff, Fathi Ben Ouezdou, Faycal Namoun: Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Study. 93-102
- Matús Uzák, Rudolf Jaksa: Framework for the Interactive Learning of Artificial Neural Networks. 103-112
Learning Algorithms (II)
- Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez: Neural Network Architecture Selection: Size Depends on Function Complexity. 122-129
- Daniel Schneegaß, Kai Labusch, Thomas Martinetz: MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. 150-158
Advances in Neural Network Learning Methods (Special Session)
- Ana M. González, José R. Dorronsoro: Natural Conjugate Gradient Training of Multilayer Perceptrons. 169-177
- Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez: Building Ensembles of Neural Networks with Class-Switching. 178-187
- Wlodzislaw Duch: K-Separability. 188-197
- José María Valls, Inés María Galván, Pedro Isasi: Lazy Training of Radial Basis Neural Networks. 198-207
- Fabien Molle, Jens Christian Claussen: Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant. 208-215
- Alberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza: Alternatives to Parameter Selection for Kernel Methods. 216-225
- Andrei Kursin, Dusan Húsek, Roman Neruda: Faster Learning with Overlapping Neural Assemblies. 226-233
- Kostadin Koroutchev, Elka Korutcheva: Improved Storage Capacity of Hebbian Learning Attractor Neural Network with Bump Formations. 234-243
Ensemble Learning
- Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar: Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules. 254-263
- Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga: Ensemble Learning with Local Diversity. 264-273
- Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. 274-283
- Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis: A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers. 284-292
- Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition. 293-302
Learning Random Neural Networks and Stochastic Agents (Special Session)
- Gerardo Rubino, Pierre Tirilly, Martín Varela: Evaluating Users' Satisfaction in Packet Networks Using Random Neural Networks. 303-312
- Michael Gellman, Peixiang Liu: Random Neural Networks for the Adaptive Control of Packet Networks. 313-320
- Taskin Koçak: Hardware Implementation of Random Neural Networks with Reinforcement Learning. 321-329
- Yu Wang: G-Networks and the Modeling of Adversarial Agents. 330-339
Hybrid Architectures
- Dirk Neumann, Rolf Eckmiller, Oliver Baruth: Development of a Neural Net-Based, Personalized Secure Communication Link. 340-348
- Alessandro Sperduti: Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees. 349-356
- Constantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. 357-366
- Stefan Babinec, Jiri Pospichal: Merging Echo State and Feedforward Neural Networks for Time Series Forecasting. 367-375
- Vadim Tikhanoff, José F. Fontanari, Angelo Cangelosi, Leonid I. Perlovsky: Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding. 376-385
- Kwang-Kyu Seo: A Methodology for Estimating the Product Life Cycle Cost Using a Hybrid GA and ANN Model. 386-395
Self Organization
- Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki: Using Self-Organizing Maps to Support Video Navigation. 396-405
- Juan Pablo de la Cruz Gutiérrez: An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network. 415-424
- Vassiliki Moschou, Dimitrios Ververidis, Constantine Kotropoulos: On the Variants of the Self-Organizing Map That Are Based on Order Statistics. 425-434
- Huicheng Zheng, Christophe Laurent, Grégoire Lefebvre: On the Basis Updating Rule of Adaptive-Subspace Self-Organizing Map (ASSOM). 435-444
- Olga Nechaeva: Composite Algorithm for Adaptive Mesh Construction Based on Self-Organizing Maps. 445-454
- Antonio Neme, Pedro Miramontes: A Parameter in the Learning Rule of SOM That Incorporates Activation Frequency. 455-463
- Pablo A. Estévez, Andrés M. Chong, Claudio M. Held, Claudio A. Perez: Nonlinear Projection Using Geodesic Distances and the Neural Gas Network. 464-473
Connectionist Cognitive Science
- Özkan Karabacak, Neslihan Serap Sengör: A Computational Model for the Effect of Dopamine on Action Selection During Stroop Test. 485-494
- Asuka Terai, Masanori Nakagawa: A Neural Network Model of Metaphor Understanding with Dynamic Interaction Based on a Statistical Language Analysis. 495-504
- Stefan L. Frank: Strong Systematicity in Sentence Processing by an Echo State Network. 505-514
- Prashant Joshi: Modeling Working Memory and Decision Making Using Generic Neural Microcircuits. 515-524
- João Pedro Guerreiro Neto: A Virtual Machine for Neural Computers. 525-534
Cognitive Machines (Special Session)
- John G. Taylor: Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. 535-542
- Roseli S. Wedemann, Luís Alfredo V. de Carvalho, Raul Donangelo: A Complex Neural Network Model for Memory Functioning in Psychopathology. 543-552
- John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten: Modelling Working Memory Through Attentional Mechanisms. 553-562
- Toshihiko Matsuka, Yasuaki Sakamoto, Jeffrey V. Nickerson, Arieta Chouchourelou: A Cognitive Model of Multi-objective Multi-concept Formation. 563-572
- John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley: A Basis for Cognitive Machines. 573-582
- Vassilis Cutsuridis: Neural Model of Dopaminergic Control of Arm Movements in Parkinson's Disease Bradykinesia. 583-591
- Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, Attention and Object Representations. 592-601
- Vishwanathan Mohan, Pietro Morasso: A Forward / Inverse Motor Controller for Cognitive Robotics. 602-611
- Stathis Kasderidis: A Computational Model for Multiple Goals. 612-622
Neural Dynamics and Complex Systems
- Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa: Detection of a Dynamical System Attractor from Spike Train Analysis. 623-631
- Anton Maximilian Schäfer, Hans-Georg Zimmermann: Recurrent Neural Networks Are Universal Approximators. 632-640
- Giuliano Grossi: A Discrete Adaptive Stochastic Neural Model for Constrained Optimization. 641-650
- Jörg Lücke, Christoph von der Malsburg: Rapid Correspondence Finding in Networks of Cortical Columns. 668-677
- Désiré Bollé, Rob Heylen: Adaptive Thresholds for Layered Neural Networks with Synaptic Noise. 678-687
- Cheng-Yuan Liou: Backbone Structure of Hairy Memory. 688-697
- Gábor Csárdi: Dynamics of Citation Networks. 698-709
Computational Neuroscience
- Jens Christian Claussen: Processing of Information in Synchroneously Firing Chains in Networks of Neurons. 710-717
- Razvan V. Florian, Raul Cristian Muresan: Phase Precession and Recession with STDP and Anti-STDP. 718-727
- Konstantinos Raftopoulos, Nikolaos Papadakis, Klimis S. Ntalianis: Visual Pathways for Detection of Landmark Points. 728-739
- Alexis Guanella, Paul F. M. J. Verschure: A Model of Grid Cells Based on a Path Integration Mechanism. 740-749
- Christo Panchev: Temporal Processing in a Spiking Model of the Visual System. 750-759
- Michiel D'Haene, Benjamin Schrauwen, Dirk Stroobandt: Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks. 760-769
- Biljana Petreska, Aude Billard: A Neurocomputational Model of an Imitation Deficit Following Brain Lesion. 770-779
- Robert H. Fujii, Kenjyu Oozeki: Temporal Data Encoding and SequenceLearning with Spiking Neural Networks. 780-789
Neural Control, Reinforcement Learning and Robotics Applications
- Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens: Optimal Tuning of Continual Online Exploration in Reinforcement Learning. 790-800
- Yibiao Zhao, Rui Fang, Shun Zhang, Siwei Luo: Vague Neural Network Controller and Its Applications. 801-810
- Takuya Fujishiro, Hidehiro Nakano, Arata Miyauchi: Parallel Distributed Profit Sharing for PC Cluster. 811-819
- Hajime Fujita, Yutaka Nakamura, Shin Ishii: Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. 820-829
- Istvan Szita, Viktor Gyenes, András Lörincz: Reinforcement Learning with Echo State Networks. 830-839
- Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat: Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. 840-849
- Christos Dimitrakakis: Nearly Optimal Exploration-Exploitation Decision Thresholds. 850-859
- Daniel Sbarbaro: Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems. 860-867
- Serdar Iplikci: Online Stabilization of Chaotic Maps Via Support Vector Machines Based Generalized Predictive Control. 868-877
Robotics, Control, Planning
- Ivan Villaverde, Manuel Graña, Alicia D'Anjou: Morphological Neural Networks and Vision Based Mobile Robot Navigation. 878-887
- Juan Ignacio Mulero Martínez, Francisco García-Córdova, Juan López Coronado: Position Control Based on Static Neural Networks of Anthropomorphic Robotic Fingers. 888-897
- Georgios Petkos, Marc Toussaint, Sethu Vijayakumar: Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts. 898-907
- Jin-Gu Kang, Kwan-Houng Lee: A Study on Optimal Configuration for the Mobile Manipulator: Using Weight Value and Mobility. 908-917
- Mehmet Önder Efe: VSC Perspective for Neurocontroller Tuning. 918-927
- Igor Shepelev: A Neural Network Module with Pretuning for Search and Reproduction of Input-Output Mapping. 928-935
Bio-inspired Neural Network On-Chip Implementation and Applications (Special session)
- Juan Manuel Moreno, Javier Iglesias, Jan Eriksson, Alessandro E. P. Villa: Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture. 936-943
- Fergal Tuffy, Liam McDaid, T. Martin McGinnity, Jose Santos, Peter M. Kelly, Vunfu Wong Kwan, John Alderman: A Time Multiplexing Architecture for Inter-neuron Communications. 944-952
- Javier Iglesias, Alessandro E. P. Villa: Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity. 953-962
- Gonzalo Carvajal, Miguel Figueroa, Seth Bridges: Effects of Analog-VLSI Hardware on the Performance of the LMS Algorithm. 963-973
- Yoon Seok Yang, Yong Shin Kim, Seung-chul Ha: A Portable Electronic Nose (E-Nose) System Based on PDA. 974-982
- José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco: Optimal Synthesis of Boolean Functions by Threshold Functions. 983-992
- Ralf Eickhoff, Ulrich Rückert: Pareto-optimal Noise and Approximation Properties of RBF Networks. 993-1002
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