435 search results - page 15 / 87 » Methods to Learn Abstract Scheduling Models |
139
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PKDD
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
115
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ECML
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
189
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ATAL
2007
Springer
15 years 11 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
137
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ALT
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
166
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ACML
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...