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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2004/11/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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