3502 search results - page 88 / 701 » From Machine Learning to Machine Reasoning |
112
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
140
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COLING
2002
15 years 4 months ago
2002
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
121
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COLT
2008
Springer
15 years 6 months ago
2008
Springer
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
153
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INTERSPEECH
2010
14 years 11 months ago
2010
This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...
122
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ALT
2001
Springer
16 years 1 months ago
2001
Springer
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...