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163
Voted
NIPS
2007
15 years 6 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
123
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RSCTC
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
176
Voted
ECML
1994
Springer
15 years 9 months ago
1994
Springer
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
125
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APN
2010
Springer
15 years 9 months ago
2010
Springer
Decision diagrams (DDs) have made their way into Petri net (PN) tools either in the form of new tools (usually designed from scratch to use DDs) or as enhancements to existing tool...
125
Voted
FOCS
1999
IEEE
15 years 9 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...