4660 search results - page 307 / 932 » Learning from imperfect data |
215
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PAA
2002
15 years 6 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
181
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
165
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ECML
2007
Springer
16 years 26 days ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
175
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JMLR
2010
15 years 1 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
196
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AIED
2009
Springer
16 years 1 months ago
2009
Springer
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...