1216 search results - page 150 / 244 » Predicting relative performance of classifiers from samples |
135
Voted
ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
111
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SIGIR
2006
ACM
15 years 10 months ago
2006
ACM
We consider the problem of evaluating retrieval systems using a limited number of relevance judgments. Recent work has demonstrated that one can accurately estimate average precis...
144
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SEMCO
2008
IEEE
15 years 11 months ago
2008
IEEE
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
117
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EMNLP
2009
15 years 2 months ago
2009
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
141
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IIR
2010
15 years 6 months ago
2010
We study the evaluation of opinion retrieval systems. Opinion retrieval is a relatively new research area, nevertheless classical evaluation measures, those adopted for ad hoc ret...