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ORCID16. ICANN 2006: Athens, Greece
- Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja:
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
Feature Selection and Dimension Reduction for Regression (Special Session)
- Nojun Kwak, Chunghoon Kim:
Dimensionality Reduction Based on ICA for Regression Problems. 1-10 - 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 - Lei Shi, Lei Xu:
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network. 51-60
Learning Algorithms (I)
- Simei Gomes Wysoski, Lubica Benuskova, Nikola K. 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 - Takeshi Matsuda, Sumio Watanabe:
Analytic Equivalence of Bayes a Posteriori Distributions. 113-121
Learning Algorithms (II)
- Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez:
Neural Network Architecture Selection: Size Depends on Function Complexity. 122-129 - Davide Bacciu, Antonina Starita:
Competitive Repetition-suppression (CoRe) Learning. 130-139 - Kang Li, Jian Xun Peng, Minrui Fei:
Real-Time Construction of Neural Networks. 140-149 - Daniel Schneegaß, Kai Labusch, Thomas Martinetz:
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. 150-158 - Roberto Lopez, Eugenio Oñate:
A Variational Formulation for the Multilayer Perceptron. 159-168
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 - Luís A. Alexandre, Joaquim Marques de Sá:
Error Entropy Minimization for LSTM Training. 244-253
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 Fernando 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 - Jan Koutník, Miroslav Snorek:
Self-Organizing Neural Networks for Signal Recognition. 406-414 - 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
- Andrzej Bieszczad, Kasia Bieszczad:
Contextual Learning in the Neurosolver. 474-484 - 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 Suzi 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 - Rigui Zhou, Ling Qin, Nan Jiang:
Quantum Perceptron Network. 651-657 - Márton Albert Hajnal, András Lörincz:
Critical Echo State Networks. 658-667 - 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 E. 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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