Presentation 2022-07-22
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model
Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative models. By treating decision trees as data-generative models, Bayes optimal prediction can be obtained and statistical optimality can be given to the prediction. However, computing Bayes optimal prediction has computational complexity. In this study, we propose a unified and parallel algorithm for constructing the set of Meta-trees required for the approximate computation of Bayes optimal prediction.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Decision tree / Generative model / Model tree / Bayes Decision Theory / Meta-tree
Paper # IT2022-27
Date of Issue 2022-07-14 (IT)

Conference Information
Committee IT
Conference Date 2022/7/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okayama University of Science
Topics (in Japanese) (See Japanese page)
Topics (in English) Freshman session, General
Chair Tetsuya Kojima(Tokyo Kosen)
Vice Chair Yasuyuki Nogami(Okayama Univ.)
Secretary Yasuyuki Nogami(Saitamai Univ.)
Assistant Takayuki Nozaki(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Information Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model
Sub Title (in English)
Keyword(1) Decision tree
Keyword(2) Generative model
Keyword(3) Model tree
Keyword(4) Bayes Decision Theory
Keyword(5) Meta-tree
1st Author's Name Keito Tajima
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Naoki Ichijo
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Koshi Shimada
3rd Author's Affiliation Waseda University(Waseda Univ.)
4th Author's Name Toshiyasu Matsushima
4th Author's Affiliation Waseda University(Waseda Univ.)
Date 2022-07-22
Paper # IT2022-27
Volume (vol) vol.122
Number (no) IT-128
Page pp.pp.61-66(IT),
#Pages 6
Date of Issue 2022-07-14 (IT)