Presentation 2014-12-13
An ensemble learning system for correcting user's skills and its application for education
Takaya OGISO, Koichiro YAMAUCHI,
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Abstract(in English) In these days, artificial intelligence systems are well used to solve various problems in our life. However, these artificial intelligence systems are working with the problem specific big-data. Therefore, they need a large data sample to be learned for acquiring the problem solving skills. Specifically, under an unknown environments, we have no learning samples for the learning of the AI. To tackle with such unknown environments, we propose a novel hybrid learning system, which realizes a collaborative learning of human and artificial intelligence.
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Keyword(in English) collaborative learning / accelerated learning / human skill / imitation
Paper # NC2014-53
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Committee NC
Conference Date 2014/12/6(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An ensemble learning system for correcting user's skills and its application for education
Sub Title (in English)
Keyword(1) collaborative learning
Keyword(2) accelerated learning
Keyword(3) human skill
Keyword(4) imitation
1st Author's Name Takaya OGISO
1st Author's Affiliation Chubu University()
2nd Author's Name Koichiro YAMAUCHI
2nd Author's Affiliation Chubu University
Date 2014-12-13
Paper # NC2014-53
Volume (vol) vol.114
Number (no) 362
Page pp.pp.-
#Pages 4
Date of Issue