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ORCIDESANN 2003: Bruges, Belgium
- 11th European Symposium on Artificial Neural Networks, ESANN 2003, Bruges, Belgium, April 23-25, 2003, Proceedings. 2003
Links between neural networks and webs
- Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi:
An introduction to learning in web domains. 1-8 - Minoru Nakayama, Yasutaka Shimizu:
Subject Categorization for Web Educational Resources using MLP. 9-14 - Masahiro Kimura, Kazumi Saito, Naonori Ueda:
Modeling of growing networks with directional attachment and communities. 15-20
Self-organization and topology representation
- Michaël Aupetit:
High-dimensional labeled data analysis with Gabriel graphs. 21-26 - Marc Strickert, Barbara Hammer:
Unsupervised Recursive Sequence Processing. 27-32 - Gilles Hermann, Patrice Wira, Jean-Philippe Urban:
Neural networks organizations to learn complex robotic functions. 33-38 - Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Self-organizing maps and functional networks for local dynamic modeling. 39-44 - Michaël Aupetit:
Robust Topology Representing Networks. 45-50 - Alberto Muñoz, Manuel Martín-Merino:
Visualizing asymmetric proximities with MDS models. 51-58
Mathematical aspects of neural networks
- Barbara Hammer, Thomas Villmann:
Mathematical Aspects of Neural Networks. 59-72 - Ulf D. Schiller, Jochen J. Steil:
On the weight dynamics of recurrent learning. 73-78 - Brijnesh J. Jain, Fritz Wysotzki:
A Neural Graph Isomorphism Algorithm based on local Invariants. 79-84 - Marie Cottrell, Patrick Letrémy:
Analyzing surveys using the Kohonen algorithm. 85-92 - Jens Christian Claussen, Thomas Villmann:
Magnification Control in Winner Relaxing Neural Gas. 93-98 - Cédric Archambeau, John Aldo Lee, Michel Verleysen:
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. 99-106 - Brijnesh J. Jain, Fritz Wysotzki:
An Associative Memory for the Automorphism Group of Structures. 107-112 - Jianyu Li, Siwei Luo, Yingjian Qi:
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks. 113-118
ANN models and learning I
- Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi:
Cellular topographic self-organization under correlational learning. 119-124 - Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
Self-Organization by Optimizing Free-Energy. 125-130 - Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Comparison of neural algorithms for blind source separation in sensor array applications. 131-136 - Rubén Martín-Clemente, Susana Hornillo-Mellado, José I. Acha, Fernando Rojas Ruiz, Carlos García Puntonet:
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation. 137-142 - Vincent Vigneron, Sebastien Lagrange, Christian Jutten:
Acceptability conditions for BSS problems. 143-148 - Urszula Markowska-Kaczmar, Wojciech Trelak:
Extraction of fuzzy rules from trained neural network using evolutionary algorithm. 149-154 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
A new rule extraction algorithm based on interval arithmetic. 155-160 - Di Huang, Tommy W. S. Chow:
Searching optimal feature subset using mutual information. 161-166 - Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones:
Statistical downscaling with artificial neural networks. 167-172 - Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu:
Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. 173-178 - Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
On radial basis function network equalization in the GSM system. 179-184
New directions in support vector machines and kernel based learning
- Massimiliano Pontil:
Reproducing kernels and regularization methods in machine learning. 185-196 - Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari:
On different ensembles of kernel machines. 197-201 - Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Kernel PLS variants for regression. 200-208 - Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. 209-214 - Vojislav Kecman, Michael Vogt, Te Ming Huang:
On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. 215-222 - Kees Jong, Elena Marchiori, Aad van der Vaart:
Finding clusters using support vector classifiers. 223-228 - Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine. 229-234 - Kai Gersmann, Barbara Hammer:
Improving iterative repair strategies for scheduling with the SVM. 235-240 - Gavin C. Cawley, Nicola L. C. Talbot:
Efficient cross-validation of kernel fisher discriminant classifiers. 241-246
ANN models and learning II
- Raul Cristian Muresan:
RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures. 247-254 - Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares. 255-260 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
Ensemble Methods for Multilayer Feedforward. 261-266 - Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh:
Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm. 267-274 - Norifumi Watanabe, Shun Ishizaki:
Neural coding model using the morphoelectrotonic transform theory. 275-280 - Frank van der Velde, Marc de Kamps:
Neural assembly binding in linguistic representation. 281-286 - Roberto Viviani, Manfred Spitzer:
Developmental pruning of synapses and category learning. 287-294 - Olivier Rochel, Dominique Martinez:
An event-driven framework for the simulation of networks of spiking neurons. 295-300 - Ana Paula Leitão, Sorin Tilie, Morgan Mangeas, Jean-Philippe Tarel, Vincent Vigneron, Sylvie Lelandais-Bonade:
Road Singularities Detection and Classification. 301-306 - Carlos Rivero:
Characterization of the absolutely expedient learning algorithms for stochastic automata in a non-discrete space of actions. 307-312
Biologically plausible learning
- Wako Yoshida, Shin Ishii:
A model-based reinforcement learning: a computational model and an fMRI study. 313-318 - Frank Seifart, Pierre Bayerl, Heiko Neumann:
A neural model for heading detection from optic flow. 319-324 - Bruno Scherrer:
Parallel asynchronous distributed computations of optimal control in large state space Markov Decision processes. 325-330
Mixtures and ensemble learning
- Mayte Suárez-Fariñas, Carlos Eduardo Pedreira:
Mixture of Experts and Local-Global Neural Networks. 331-336 - Shimon Cohen, Nathan Intrator:
Ensemble of hybrid networks with strong regularization. 337-342 - Andrés Yáñez Escolano, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez, Pedro Galindo Riaño:
A new Meta Machine Learning (MML) method based on combining non-significant different neural networks. 343-348
Classification
- José Orozco García, Carlos A. Reyes García:
Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks. 349-354 - Cecilio Angulo, Luis González Abril:
1-v-1 Tri-Class SV Machine. 355-360 - Gilles Vaucher:
A Spiking Machine for Human-Computer Interactions (Design methodology). 361-366 - Razvan Andonie, Lucian Mircea Sasu:
A Fuzzy ARTMAP Probability Estimator with Relevance Factor. 367-372
Dynamical systems and recurrent networks
- Marzena Ciszak, Oscar Calvo, Cristina Masoller, Claudio R. Mirasso, Raúl Toral:
Anticipated synchronization in neuron models. 373-378 - Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre:
Autonomous learning algorithm for fully connected recurrent networks. 379-384 - Enrique Domínguez Merino, José Muñoz-Pérez, José M. Jerez-Aragonés:
Neural Network Algorithms for the p-Median Problem. 385-392
Industrial and agronomical applications of neural networks
- Leonardo Maria Reyneri:
On industrial acceptance of neuro-fuzzy systems. 393-400 - Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
Comparison of traditional and neural systems for train speed estimation. 401-406 - Biswanath Bhattacharya, Dimitri P. Solomatine:
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. 407-412 - Manuela Battipede, Piero A. Gili, Marco Lando, Luca Massotti, Marcello R. Napolitano, Giampiero Campa, Mario G. Perhinschi:
Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator. 413-418
ANN models and learning III
- DaeEun Kim:
An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons. 419-426 - Martin Bogdan, Michael Schröder, Wolfgang Rosenstiel:
Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach. 427-438 - Frank Pasemann, Martin Hülse, Keyan Zahedi:
Evolved Neurodynamics for Robot Control. 439-444 - Stéphane Badel, Alexandre Schmid, Yusuf Leblebici:
VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications. 445-450 - Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Recursive Least Squares for an Entropy Regularized MSE Cost Function. 451-456 - A. Zehender, Pierre Bayerl, Heiko Neumann:
A view-based approach for object recognition from image sequences. 457-462 - Stephan Breutel, Frédéric Maire, Ross Hayward:
Extracting Interface Assertions from Neural Networks in Polyhedral Format. 463-468 - Vladimir Banarer, Christian Perwass, Gerald Sommer:
The hypersphere neuron. 469-474 - Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Fast approximation of the bootstrap for model selection. 475-480 - Manuel Graña, Josune Gallego:
Associative morphological memories for spectral unmixing. 481-486 - Miguel Rocha, Paulo Cortez, José Neves:
Adaptive Learning in Changing Environments. 487-492
Digital image processing with neural networks
- Axel Wismüller, Udo Seiffert:
Digital Image Processing with Neural Networks. 493-502 - Gunther Heidemann, Axel Saalbach, Helge J. Ritter:
Semi-automatic acquisition and labelling of image data using SOMs. 503-508 - Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller:
Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. 509-514 - Rossella Cancelliere, Mario Gai:
Neural Network Performances in Astronomical Image Processing. 515-520 - Valentina V. Zharkova, Vitaly Schetinin:
A recognition of filaments in solar images with an artificial neural network. 521-526 - John Aldo Lee, Cédric Archambeau, Michel Verleysen:
Locally Linear Embedding versus Isotop. 527-534 - Sven Behnke:
Meter value recognition using locally connected hierarchical networks. 535-540
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