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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-23
Okinawa Okinawa Institute of Science and Technology Analysis of Robustness of Approximators Based on Neural Networks Against Redundant Dimensions
Shoichi Someno, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Tomoki Ichiba, Masahiko Morita (Tsukuba Univ.) NC2017-8
Redundant input dimensions that are not related to the output are known to lower the approximate accuracy of function ap... [more] NC2017-8
Tokyo Tamagawa University Joint coordination of a multi-joint arm for target tracking task
Shunta Togo, Takahiro Kagawa, Yoji Uno (Nagoya Univ.) NC2012-164
In this paper, we measured and analyzed a one-dimensional target tracking task in which human subjects tracked one-dimen... [more] NC2012-164
NC 2009-01-19
Hokkaido Hokkaido Univ. Reinforcement Learning Using Selective Desensitization Neural Networks in the State Space with Redundant dimensions
Tomoyuki Shimbo, Ken Yamane, Masahiko Morita (Univ. of Tsukuba) NC2008-83
Reinforcement learning has a problem that it requires a long time particularly when the state space is high dimensional ... [more] NC2008-83
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