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.
Lecture Notes in Computer Science 4131 Springer 2006, ISBN 3-540-38625-4 BibTeX
Feature Selection and Dimension Reduction for Regression (Special Session)
- Nojun Kwak, Chunghoon Kim:
Dimensionality Reduction Based on ICA for Regression Problems.
1-10
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- Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen:
A Functional Approach to Variable Selection in Spectrometric Problems.
11-20
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- Marek Kurzynski, Edward Puchala, Aleksander Rewak:
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm.
21-30
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- 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
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- Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén:
Effective Input Variable Selection for Function Approximation.
41-50
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- Lei Shi, Lei Xu:
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network.
51-60
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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
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- Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann:
Learning Long Term Dependencies with Recurrent Neural Networks.
71-80
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- 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
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- Vincent Scesa, Patrick Henaff, Fathi Ben Ouezdou, Faycal Namoun:
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Study.
93-102
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- Matús Uzák, Rudolf Jaksa:
Framework for the Interactive Learning of Artificial Neural Networks.
103-112
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- Takeshi Matsuda, Sumio Watanabe:
Analytic Equivalence of Bayes a Posteriori Distributions.
113-121
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Learning Algorithms (II)
Advances in Neural Network Learning Methods (Special Session)
- Ana M. González, José R. Dorronsoro:
Natural Conjugate Gradient Training of Multilayer Perceptrons.
169-177
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- Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez:
Building Ensembles of Neural Networks with Class-Switching.
178-187
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- Wlodzislaw Duch:
K-Separability.
188-197
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- José María Valls, Inés María Galván, Pedro Isasi:
Lazy Training of Radial Basis Neural Networks.
198-207
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- Fabien Molle, Jens Christian Claussen:
Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant.
208-215
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- Alberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza:
Alternatives to Parameter Selection for Kernel Methods.
216-225
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- Andrei Kursin, Dusan Húsek, Roman Neruda:
Faster Learning with Overlapping Neural Assemblies.
226-233
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- Kostadin Koroutchev, Elka Korutcheva:
Improved Storage Capacity of Hebbian Learning Attractor Neural Network with Bump Formations.
234-243
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- Luís A. Alexandre, Joaquim Marques de Sá:
Error Entropy Minimization for LSTM Training.
244-253
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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
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- Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Ensemble Learning with Local Diversity.
264-273
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- Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts.
274-283
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- Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis:
A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers.
284-292
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- Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition.
293-302
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Learning Random Neural Networks and Stochastic Agents (Special Session)
Hybrid Architectures
Self Organization
- Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki:
Using Self-Organizing Maps to Support Video Navigation.
396-405
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- Jan Koutník, Miroslav Snorek:
Self-Organizing Neural Networks for Signal Recognition.
406-414
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- Juan Pablo de la Cruz Gutiérrez:
An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network.
415-424
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- Vassiliki Moschou, Dimitrios Ververidis, Constantine Kotropoulos:
On the Variants of the Self-Organizing Map That Are Based on Order Statistics.
425-434
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- Huicheng Zheng, Christophe Laurent, Grégoire Lefebvre:
On the Basis Updating Rule of Adaptive-Subspace Self-Organizing Map (ASSOM).
435-444
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- Olga Nechaeva:
Composite Algorithm for Adaptive Mesh Construction Based on Self-Organizing Maps.
445-454
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- Antonio Neme, Pedro Miramontes:
A Parameter in the Learning Rule of SOM That Incorporates Activation Frequency.
455-463
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- Pablo A. Estévez, Andrés M. Chong, Claudio M. Held, Claudio A. Perez:
Nonlinear Projection Using Geodesic Distances and the Neural Gas Network.
464-473
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Connectionist Cognitive Science
Cognitive Machines (Special Session)
- John G. Taylor:
Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future.
535-542
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- Roseli S. Wedemann, Luís Alfredo V. de Carvalho, Raul Donangelo:
A Complex Neural Network Model for Memory Functioning in Psychopathology.
543-552
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- John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten:
Modelling Working Memory Through Attentional Mechanisms.
553-562
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- Toshihiko Matsuka, Yasuaki Sakamoto, Jeffrey V. Nickerson, Arieta Chouchourelou:
A Cognitive Model of Multi-objective Multi-concept Formation.
563-572
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- John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley:
A Basis for Cognitive Machines.
573-582
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- Vassilis Cutsuridis:
Neural Model of Dopaminergic Control of Arm Movements in Parkinson's Disease Bradykinesia.
583-591
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- Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor:
Occlusion, Attention and Object Representations.
592-601
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- Vishwanathan Mohan, Pietro Morasso:
A Forward / Inverse Motor Controller for Cognitive Robotics.
602-611
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- Stathis Kasderidis:
A Computational Model for Multiple Goals.
612-622
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Neural Dynamics and Complex Systems
Computational Neuroscience
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
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- Yibiao Zhao, Rui Fang, Shun Zhang, Siwei Luo:
Vague Neural Network Controller and Its Applications.
801-810
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- Takuya Fujishiro, Hidehiro Nakano, Arata Miyauchi:
Parallel Distributed Profit Sharing for PC Cluster.
811-819
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- Hajime Fujita, Yutaka Nakamura, Shin Ishii:
Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments.
820-829
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- Istvan Szita, Viktor Gyenes, András Lörincz:
Reinforcement Learning with Echo State Networks.
830-839
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- Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning.
840-849
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- Christos Dimitrakakis:
Nearly Optimal Exploration-Exploitation Decision Thresholds.
850-859
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- Daniel Sbarbaro:
Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems.
860-867
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- Serdar Iplikci:
Online Stabilization of Chaotic Maps Via Support Vector Machines Based Generalized Predictive Control.
868-877
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Robotics,
Control,
Planning
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
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- Fergal Tuffy, Liam McDaid, T. Martin McGinnity, Jose Santos, Peter Kelly, Vunfu Wong Kwan, John Alderman:
A Time Multiplexing Architecture for Inter-neuron Communications.
944-952
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- Javier Iglesias, Alessandro E. P. Villa:
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity.
953-962
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- Gonzalo Carvajal, Miguel Figueroa, Seth Bridges:
Effects of Analog-VLSI Hardware on the Performance of the LMS Algorithm.
963-973
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- Yoon Seok Yang, Yong Shin Kim, Seung-chul Ha:
A Portable Electronic Nose (E-Nose) System Based on PDA.
974-982
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- José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco:
Optimal Synthesis of Boolean Functions by Threshold Functions.
983-992
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- Ralf Eickhoff, Ulrich Rückert:
Pareto-optimal Noise and Approximation Properties of RBF Networks.
993-1002
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Copyright © Sat May 16 23:16:12 2009
by Michael Ley (ley@uni-trier.de)
