ESANN 1999:
Bruges, BelgiumDynamical systems
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Self-organization
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Special session:
Adaptive computation of data structures
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Andreas Küchler :
Tree-recursive computation of gradient information for structures.
39-44
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Christoph Goller :
Learning search-control heuristics for automated deduction systems with folding architecture networks.
45-50
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conf/esann/HagenbuchnerT99
Methodology
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conf/esann/Martinez-Cabeza-de-Vaca-AlajarinT99 export record as
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Special session:
Remote sensing spectral image analysis
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Erzsébet Merényi :
The challenges in spectral image analysis: an introduction, and review of ANN approaches.
93-98
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Neil Pendock :
A simple associative neural network for producing spatially homogenous spectral abundance interpretations of hyperspectral imagery.
99-104
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Thomas Villmann :
Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing.
111-116
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conf/esann/MacDonaldMKF99
ANN models and learning I
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Christophe Lecerf :
Tackling the stability/plasticity dilemma with double loop dynamic systems.
153-158
Biological models and inspiration
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conf/esann/BullinariaRR99 export record as
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Special session:
Support Vector Machines
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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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conf/esann/CristianiniCS99 export record as
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Michèle Sebag :
From first order logic to Nd: a data driven reformulation.
231-236
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conf/esann/BarabinoPPPV99
ANN models and learning II
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conf/esann/Frezza-BuetA99 export record as
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Classification
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Roelof K. Brouwer :
An integer recurrent artificial neural network for classifying feature vectors.
307-312
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Special session:
Information extraction using unsupervised neural networks
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Colin Fyfe :
Trends in Unsupervised Learning.
319-326
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ANN models and learning III
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Special session:
Spiking neurons
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conf/esann/NatschlagerM99 export record as
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Michael Schmitt :
VC dimension bounds for networks of spiking neurons.
429-434
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Temporal series
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