2013 Fiscal Year Final Research Report
Uncertainty informaion processing by statistical abduction
| Project/Area Number |
23300054
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
SATO Taisuke 東京工業大学, 情報理工学(系)研究科, 教授 (90272690)
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| Co-Investigator(Renkei-kenkyūsha) |
KAMEYA Yoshitaka 名城大学, 理工学部情報工学科, 准教授 (60361789)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Keywords | 確率論理 / 確率モデリング言語 |
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| Research Abstract |
We have improved a logic-based modeling language PRISM which unifies statistical machine learning and logical inference by adding a general MCMC
(Markov chain Monte Carlo) method, VT (Viterbi training) and VB-VT that
extends VT with variational Bayes. We also enabled PRISM to calculate an infinite sum of probabilities through solving probability equations, which is applied to intention recognition of users from web log session data.
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