Scientific Discovery of Dynamic Hidden States and Differential Law Equations(Scientific Data Mining)
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概要
- 論文の詳細を見る
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.
- 一般社団法人情報処理学会の論文
- 2004-12-04
著者
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Motoda Hiroshi
Institute Of Scientific And Industrial Research Osaka University
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Washio Takashi
Institute Of Scientific And Industrial Research Osaka University
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Washio Takashi
The Institute Of Scientific And Industrial Research Osaka University
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ADACHI Fuminori
Institute of Scientific and Industrial Research, Osaka University
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Adachi Fuminori
The Institute Of Scientific And Industrial Research Osaka University
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