Title:
隠れマルコフモデルを見出す方法
Document Type and Number:
Japanese Patent JP5898704
Kind Code:
B2
Abstract:
The invention uses the ModelGrower program to generate possible candidates from an original or aggregated model. An isomorphic reduction program operates on the candidates to identify and exclude isomorphic models. A Markov model evaluation and optimization program operates on the remaining non-isomorphic candidates. The candidates are optimized and the ones that most closely conform to the data are kept. The best optimized candidate of one stage becomes the starting candidate for the next stage where ModelGrower and the other programs operate on the optimized candidate to generate a new optimized candidate. The invention repeats the steps of growing, excluding isomorphs, evaluating and optimizing until such repetitions yield no significantly better results.
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Inventors:
Garrick, Albert
Application Number:
JP2013557997A
Publication Date:
April 06, 2016
Filing Date:
March 14, 2011
Export Citation:
Assignee:
Garrick, Albert
International Classes:
G06N7/00; G06N99/00
Domestic Patent References:
| JP2011243088A |
Other References:
豊浦潤,他2名,時系列データからのネットワークモデルの教師なし学習方式,電子情報通信学会論文誌(情報・システムII-情報処理),日本,社団法人電子情報通信学会,1999年 1月25日,第J82-D-II巻, 第1号,pp.61-74
Attorney, Agent or Firm:
Hidesaku Yamamoto
Natsuki Morishita
Takatoshi Iida
Daisuke Ishikawa
Kensaku Yamamoto
Natsuki Morishita
Takatoshi Iida
Daisuke Ishikawa
Kensaku Yamamoto