1180 search results - page 84 / 236 » An Instance Selection Approach to Multiple Instance Learning |
130
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
133
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JMLR
2006
15 years 3 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
127
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
129
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ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
149
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COLING
2010
14 years 9 months ago
2010
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...