5463 search results - page 360 / 1093 » Evaluating algorithms that learn from data streams |
191
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PAMI
1998
15 years 6 months ago
1998
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
190
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
181
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
183
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WWW
2009
ACM
16 years 7 months ago
2009
ACM
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
241
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JMLR
2010
15 years 1 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...