2013 Fiscal Year Final Research Report
Learning Probabilistic Simulation Models for Rare Event/Condition Occurrence
Project/Area Number |
24650069
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | Osaka University |
Principal Investigator |
WASHIO Takashi 大阪大学, 産業科学研究所, 教授 (00192815)
|
Co-Investigator(Renkei-kenkyūsha) |
IBA Yutaka 統計数理研究所, モデリング研究系, 准教授 (30213200)
SHIMIZU Shohei 大阪大学, 産業科学研究所, 准教授 (10509871)
KAWAHARA Yoshinobu 大阪大学, 産業科学研究所, 准教授 (00514796)
|
Project Period (FY) |
2012-04-01 – 2014-03-31
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Keywords | 知識発見 / データマイニング / 確率モデル / 機械学習 / 希少事象 / 災害 |
Research Abstract |
Various approaches for learning probabilistic models from given data and background knowledge have been studied in the past, however, studies on the probabilistic model learning for rare/special conditions have been very limited. In this study, we developed an efficient and accurate approach to learn probabilistic simulation models for the rare/special conditions by using a given data set and its associated background knowledge. Moreover, we demonstrated a novel framework for the probabilistic estimation and prediction of rare/special events and scenarios through its applications to a rare and large scale natural disaster.
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