Presentation 2008-03-13
Modeling and Verifying a Hypothesis on Human Detection of Concept Drift
Shohei SHIMADA, Kyosuke NISHIDA, Satoru ISHIKAWA, Koichiro YAMAUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The ability to adapt to various types of changes is essential for the online classifier in order to deal with real-world problems. In the case where sudden and significant changes arise, we need to detect and respond to them quickly. So we focused on human that is able to respond to various types of changes and we proposed a model of change detection based on human confidence in their classification. Experimental results demonstrated that the proposed model was able to respond to sudden and significant changes more quickly and accurately than the conventional detection method that used a time window.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) concept drift / change detection / confidence / Leaky Integrate-and-Fire model / online learning
Paper # NC2007-158
Date of Issue

Conference Information
Committee NC
Conference Date 2008/3/5(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling and Verifying a Hypothesis on Human Detection of Concept Drift
Sub Title (in English)
Keyword(1) concept drift
Keyword(2) change detection
Keyword(3) confidence
Keyword(4) Leaky Integrate-and-Fire model
Keyword(5) online learning
1st Author's Name Shohei SHIMADA
1st Author's Affiliation Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Kyosuke NISHIDA
2nd Author's Affiliation Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Satoru ISHIKAWA
3rd Author's Affiliation Department of Psychology and Applied Communication, School of Humanities, Hokusei Gakuen University
4th Author's Name Koichiro YAMAUCHI
4th Author's Affiliation Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University
Date 2008-03-13
Paper # NC2007-158
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue