Presentation 2004/11/29
Scientific Discovery of Dynamic Hidden States and Differential Law Equations(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
FUMINORI ADACHI, TAKASHI WASHIO, HIROSHI MOTODA,
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Abstract(in English) This paper proposes a novel appropach to discover dynamic hidden states and simultaneous time differential law equations from time series data observed in an objective process. This task has not been addressed in the past work though it is essentially important in scientific discovery since any behaviors of objective processes emerge in time evolution. The promising performance of the proposed approach is demonstrated through the analysis of synthetic data.
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Paper # AI2004-49
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Committee AI
Conference Date 2004/11/29(1days)
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Language ENG
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Title (in English) Scientific Discovery of Dynamic Hidden States and Differential Law Equations(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
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1st Author's Name FUMINORI ADACHI
1st Author's Affiliation Institute of Scientific and Industrial Research, Osaka University()
2nd Author's Name TAKASHI WASHIO
2nd Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
3rd Author's Name HIROSHI MOTODA
3rd Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
Date 2004/11/29
Paper # AI2004-49
Volume (vol) vol.104
Number (no) 487
Page pp.pp.-
#Pages 6
Date of Issue