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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 3 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
14 years 10 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
15 years 3 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»
14 years 9 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
15 years 4 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...