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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2023-12-21
11:20		 Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)		 Classification Error Analysis under Covariate Shift between Non-absolutely Continuous Distributions through neighbor-transfer-exponent
Mitsuhiro Fujikawa, Youhei Akimoto (Univ. of Tsukuba), Jun Sakuma (Tokyo Inst. of Tech.), Kazuto Fukuchi (Univ. of Tsukuba) IBISML2023-39		 Transfer learning is considered successful when increasing the source sample size decreases the target sample size neede... [more] IBISML2023-39
pp.58-65
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-15
11:45		 Ehime   [Short Paper] Transfer Learning to Avoid Negative Transfer Focusing on Tree Sturucture
Kenta Nishiyuki (Megachips), Hironobu Fujiyoshi (Chubu Univ.) PRMU2015-84 IBISML2015-44		 (To be available after the conference date) [more] PRMU2015-84 IBISML2015-44
pp.127-128
NC, MBE
(Joint)		 2009-03-12
13:25		 Tokyo Tamagawa Univ. Covariate Shift and Incremental Learning
Koichiro Yamauchi (Hokudai Univ.) NC2008-142		 Learning strategies under `covariate shift' have recently
been widely discussed.
Under covariate shift, the density o... [more]		 NC2008-142
pp.231-236
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