395 search results - page 20 / 79 » Learning to rank with partially-labeled data |
186
Voted
IR
2011
14 years 8 months ago
2011
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
140
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ECIR
2011
Springer
14 years 5 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
96
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
DASFAA
2005
IEEE
15 years 7 months ago
2005
IEEE
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
106
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ICTIR
2009
Springer
14 years 11 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...