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119
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NIPS
2001
15 years 1 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
190
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ROCAI
2004
Springer
15 years 5 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
TNN
2008
14 years 11 months ago
2008
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
ICML
2007
IEEE
16 years 12 days ago
2007
IEEE
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
SAB
2010
Springer
14 years 10 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...