50 search results - page 7 / 10 » A Selective Sampling Strategy for Label Ranking |
106
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BMCBI
2010
14 years 9 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
129
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PRIB
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
ICML
2004
IEEE
15 years 2 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
PRL
2008
14 years 9 months ago
2008
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...