ESANN 2003:
Bruges,
Belgium
ESANN 2003, 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 23-25, 2003, Proceedings.
2003 BibTeX
Links between neural networks and webs
Self-organization and topology representation
Mathematical aspects of neural networks
- Barbara Hammer, Thomas Villmann:
Mathematical Aspects of Neural Networks.
59-72
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- Ulf D. Schiller, Jochen J. Steil:
On the weight dynamics of recurrent learning.
73-78
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- Brijnesh J. Jain, Fritz Wysotzki:
A Neural Graph Isomorphism Algorithm based on local Invariants.
79-84
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- Marie Cottrell, Patrick Letrémy:
Analyzing surveys using the Kohonen algorithm.
85-92
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- Jens Christian Claussen, Thomas Villmann:
Magnification Control in Winner Relaxing Neural Gas.
93-98
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- Cédric Archambeau, John Aldo Lee, Michel Verleysen:
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures.
99-106
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- Brijnesh J. Jain, Fritz Wysotzki:
An Associative Memory for the Automorphism Group of Structures.
107-112
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- Jianyu Li, Siwei Luo, Yingjian Qi:
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks.
113-118
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ANN models and learning I
- Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi:
Cellular topographic self-organization under correlational learning.
119-124
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- Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
Self-Organization by Optimizing Free-Energy.
125-130
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- Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Comparison of neural algorithms for blind source separation in sensor array applications.
131-136
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- 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
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- Vincent Vigneron, Sebastien Lagrange, Christian Jutten:
Acceptability conditions for BSS problems.
143-148
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- Urszula Markowska-Kaczmar, Wojciech Trelak:
Extraction of fuzzy rules from trained neural network using evolutionary algorithm.
149-154
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- Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
A new rule extraction algorithm based on interval arithmetic.
155-160
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- D. Huang, Tommy W. S. Chow:
Searching optimal feature subset using mutual information.
161-166
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- Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones:
Statistical downscaling with artificial neural networks.
167-172
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- Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu:
Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks.
173-178
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- Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
On radial basis function network equalization in the GSM system.
179-184
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New directions in support vector machines and kernel based learning
- Massimiliano Pontil:
Reproducing kernels and regularization methods in machine learning.
185-196
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- Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari:
On different ensembles of kernel machines.
197-201
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- Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Kernel PLS variants for regression.
200-208
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- 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
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- 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
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- Kees Jong, Elena Marchiori, Aad van der Vaart:
Finding clusters using support vector classifiers.
223-228
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- Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine.
229-234
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- Kai Gersmann, Barbara Hammer:
Improving iterative repair strategies for scheduling with the SVM.
235-240
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- Gavin C. Cawley, Nicola L. C. Talbot:
Efficient cross-validation of kernel fisher discriminant classifiers.
241-246
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ANN models and learning II
- Raul Cristian Muresan:
RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures.
247-254
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- Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares.
255-260
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- Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
Ensemble Methods for Multilayer Feedforward.
261-266
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- Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh:
Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm.
267-274
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- Norifumi Watanabe, Shun Ishizaki:
Neural coding model using the morphoelectrotonic transform theory.
275-280
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- Frank van der Velde, Marc de Kamps:
Neural assembly binding in linguistic representation.
281-286
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- Roberto Viviani, Manfred Spitzer:
Developmental pruning of synapses and category learning.
287-294
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- Olivier Rochel, Dominique Martinez:
An event-driven framework for the simulation of networks of spiking neurons.
295-300
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- Ana Paula Leitão, Sorin Tilie, Morgan Mangeas, Jean-Philippe Tarel, Vincent Vigneron, Sylvie Lelandais-Bonade:
Road Singularities Detection and Classification.
301-306
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- Carlos Rivero:
Characterization of the absolutely expedient learning algorithms for stochastic automata in a non-discrete space of actions.
307-312
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Biologically plausible learning
Mixtures and ensemble learning
Classification
Dynamical systems and recurrent networks
Industrial and agronomical applications of neural networks
- Leonardo Maria Reyneri:
On industrial acceptance of neuro-fuzzy systems.
393-400
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- Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
Comparison of traditional and neural systems for train speed estimation.
401-406
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- Biswanath Bhattacharya, Dimitri P. Solomatine:
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river.
407-412
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- 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
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ANN models and learning III
- DaeEun Kim:
An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons.
419-426
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- 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
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- Frank Pasemann, Martin Hülse, Keyan Zahedi:
Evolved Neurodynamics for Robot Control.
439-444
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- Stéphane Badel, Alexandre Schmid, Yusuf Leblebici:
VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications.
445-450
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- 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
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- A. Zehender, Pierre Bayerl, Heiko Neumann:
A view-based approach for object recognition from image sequences.
457-462
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- Stephan Breutel, Frédéric Maire, Ross Hayward:
Extracting Interface Assertions from Neural Networks in Polyhedral Format.
463-468
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- Vladimir Banarer, Christian Perwass, Gerald Sommer:
The hypersphere neuron.
469-474
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- Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Fast approximation of the bootstrap for model selection.
475-480
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- Manuel Graña, Josune Gallego:
Associative morphological memories for spectral unmixing.
481-486
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- Miguel Rocha, Paulo Cortez, José Neves:
Adaptive Learning in Changing Environments.
487-492
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Digital image processing with neural networks
- Axel Wismüller, Udo Seiffert:
Digital Image Processing with Neural Networks.
493-502
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- Gunther Heidemann, Axel Saalbach, Helge Ritter:
Semi-automatic acquisition and labelling of image data using SOMs.
503-508
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- Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller:
Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis.
509-514
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- Rossella Cancelliere, Mario Gai:
Neural Network Performances in Astronomical Image Processing.
515-520
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- Valentina V. Zharkova, Vitaly Schetinin:
A recognition of filaments in solar images with an artificial neural network.
521-526
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- John Aldo Lee, Cédric Archambeau, Michel Verleysen:
Locally Linear Embedding versus Isotop.
527-534
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- Sven Behnke:
Meter value recognition using locally connected hierarchical networks.
535-540
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Copyright © Sat May 16 23:10:41 2009
by Michael Ley (ley@uni-trier.de)