255 search results - page 21 / 51 » Learning parallel portfolios of algorithms |
133
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ICANN
2009
Springer
15 years 8 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
149
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PPSN
2004
Springer
15 years 8 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
128
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EUSFLAT
2009
15 years 1 months ago
2009
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
120
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ICDCS
2007
IEEE
15 years 9 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
102
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IPPS
1998
IEEE
15 years 7 months ago
1998
IEEE
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...