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166
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
143
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ECML
2001
Springer
15 years 11 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
167
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EDBT
2006
ACM
16 years 6 months ago
2006
ACM
Abstract. Partial-match queries return data items that contain a subset of the query keywords and order the results based on the statistical properties of the matched keywords. The...
235
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
182
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ACSW
2004
15 years 8 months ago
2004
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...