Socially embedded learning of the office-conversant mobile robot Jijo-2

  • Authors:
  • Hideki Asoh;Satoru Hayamizu;Isao Hara;Yoichi Motomura;Shotaro Akaho;Toshihiro Matsui

  • Affiliations:
  • Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan

  • Venue:
  • IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
  • Year:
  • 1997

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Abstract

In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a ...