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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
14 years 1 months ago
Active Learning to Maximize Area Under the ROC Curve
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. ...
Matt Culver, Kun Deng, Stephen D. Scott
CCIA
2009
Springer
13 years 8 months ago
Secure and Optimal Base Contraction in Graded Lukasiewicz Logics
Abstract. The operation of base contraction was successfully characterized for a very general class of logics using the notion of remainder sets. Although, in the general case, thi...
Pere Pardo, Pilar Dellunde, Lluis Godo
FUZZIEEE
2007
IEEE
14 years 1 months ago
Possibilistic information fusion using maximal coherent subsets
— When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tedious problem, especially when sourc...
Sébastien Destercke, Didier Dubois, Eric Ch...
MSS
2008
IEEE
88views Hardware» more  MSS 2008»
13 years 7 months ago
Maximizing an interval order on compact subsets of its domain
Maximal elements of a binary relation on compact subsets of a metric space define a choice function. An infinite extension of transitivity is necessary and sufficient for such a c...
Nikolai S. Kukushkin
ICASSP
2009
IEEE
14 years 2 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...