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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-25
09:30
Okinawa Okinawa Institute of Science and Technology Expectation Propagation for t-Exponential Family
Futoshi Futami, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-6
Exponential family distributions are highly useful in machine learning since their calculation can be performed efficien... [more] IBISML2017-6
pp.179-184
NC 2010-01-18
15:30
Hokkaido Hyakunen-Kinen in Hokkaido University Learning Machine having Curiosity -- Sequential Learning and Model Selection under Unstable Environments --
Koichiro Yamauchi (Chubu University) NC2009-75
In this research, an weighted error function for the learning of RBFNN
under virtual concept drift environments is prop... [more]
NC2009-75
pp.25-30
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