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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2016-11-17
14:00		 Kyoto Kyoto Univ. Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu (UTokyo), Masashi Sugiyama (RIKEN/UTokyo) IBISML2016-80		 Most of the semi-supervised learning methods developed so far use unlabeled data for regularization purposes under parti... [more] IBISML2016-80
pp.243-250
IBISML 2014-11-18
15:00		 Aichi Nagoya Univ. [Poster Presentation] Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance
Hideko Kawakubo (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-71		 Due to sample selection bias or non-stationarity of the environment, the class balance often changes between training an... [more] IBISML2014-71
pp.271-278
IBISML 2012-06-20
10:30		 Kyoto Campus plaza Kyoto Density Difference Estimation
Masashi Sugiyama (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Marthinus Christoffel du Plessis, Song Liu (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-8		 We address the problem of estimating the difference between
two probability densities.
A naive approach
is a two-ste... [more]		 IBISML2012-8
pp.49-56
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