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103
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ICMLA
2009
14 years 9 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
138
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ML
2012
ACM
13 years 7 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
119
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ICMLC
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
103
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PKDD
2004
Springer
15 years 5 months ago
2004
Springer
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
105
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JAIR
2000
14 years 11 months ago
2000
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...