ESANN 1999:
Bruges,
Belgium
ESANN 1999, 7th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 21-23, 1999, Proceedings.
1999 BibTeX
Dynamical systems
Self-organization
Special session:
Adaptive computation of data structures
Methodology
Special session:
Remote sensing spectral image analysis
ANN models and learning I
Biological models and inspiration
Special session:
Support Vector Machines
- James Tin-Yau Kwok:
Integrating the evidence framework and the support vector machine.
177-182
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- Koji Tsuda:
Support vector classifier with asymetric kernel function.
183-188
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- Nello Cristianini, Colin Campbell, John Shawe-Taylor:
A multiplicative updating algorithm for training support vector machine.
189-194
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- Rodrigo Fernández, Emmanuel Viennet:
Face identification using support vector machines.
195-200
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- Arnaud Buhot, Mirta B. Gordon:
Statistical mechanics of support vector machine.
201-206
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- Pierre M. L. Drezet, Robert F. Harrison:
An efficient formulation of sparsity controlled support vector regression.
207-212
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- Davide Mattera, Francesco Palmieri, Simon Haykin:
Generalized support vector machines.
213-218
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- Jason Weston, Chris Watkins:
Support vector machines for multi-class pattern recognition.
219-224
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- Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou:
From regression to classification in support vector machines.
225-230
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- Michèle Sebag:
From first order logic to Nd: a data driven reformulation.
231-236
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- Christian Wöhler, Ulrich Kressel, Jürgen Schürmann, Joachim K. Anlauf:
Dimensionality reduction by local processing.
237-244
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- Thilo-Thomas Frieß, Robert F. Harrison:
A kernel based adaline.
245-250
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- David M. J. Tax, Robert P. W. Duin:
Data domain description using support vectors.
251-256
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- N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri:
Support vector machines vs multi-layer perceptrons in particle identification.
257-262
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ANN models and learning II
- Hervé Frezza-Buet, Frédéric Alexandre:
Specialization with cortical models: An application to causality learning.
263-268
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- Arnaud Ribert, Abdel Ennaji, Yves Lecourtier:
Generalisation capabilities of a distributed neural classifier.
269-274
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- Simone Fiori, Francesco Piazza:
A comparison of three PCA neural techniques.
275-280
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- Donald MacDonald, Darryl Charles, Colin Fyfe:
Neural networks which identify composite factors.
281-288
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- Kamal R. Al-Rawi, Consuelo Gonzalo, Agueda Arquero:
Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns.
289-294
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Classification
Special session:
Information extraction using unsupervised neural networks
- Colin Fyfe:
Trends in Unsupervised Learning.
319-326
Electronic Edition (link) BibTeX
- Arnaud Buhot, Mirta B. Gordon:
Detection of two Gaussian clusters.
327-332
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- Francesco Palmieri, Alessandra Budillon, Davide Mattera:
Independent component analysis for mixture densities.
333-338
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- Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Extraction of intrinsic dimension using CCA - Application to blind sources separation.
339-344
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- Darryl Charles, Colin Fyfe:
Noise to extract independent causes.
345-350
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- Jan van den Berg, Martijn J. Schuemie:
Information retrieval systems using an associative conceptual space.
351-356
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- Arnaud Revel, Philippe Gaussier, Jean-Paul Banquet:
Taking inspiration from the Hippocampus can help solving robotics problems.
357-362
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ANN models and learning III
- Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons.
363-369
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- Jochen J. Steil, Helge Ritter:
Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation.
370-374
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- Ramón P. Ñeco, Mikel L. Forcada, Rafael C. Carrasco, M. Ángeles Valdés-Muñoz:
Encoding of sequential translators in discrete-time recurrent neural nets.
375-380
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- Antoine Fache, Olivier Dubois, Alain Billat:
On the invertibility of the RBF model in a predictive control strategy.
381-386
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- Anton M. Sirota, Alexander A. Frolov, Dusan Húsek:
Nonlinear factorization in sparsely encoded Hopfield-like neural networks.
387-392
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- Bruno Crespi, Ignazio Lazzizzera:
Storage capacity and dynamics of nonmonotonic networks.
393-398
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- Fabien Belloir, Antoine Fache, Alain Billat:
A general approach to construct RBF net-based classifier.
399-404
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- Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller:
Hidden Markov gating for prediction of change points in switching dynamical systems.
405-410
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- Christian W. Eurich, Thorsten Conradi, Helmut Schwegler:
Critical and non-critical avalanche behavior in networks of integrate-and-fire neurons.
411-416
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Special session:
Spiking neurons
Temporal series
Copyright © Sat May 16 23:10:41 2009
by Michael Ley (ley@uni-trier.de)
