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- NAKAHARA Yuta
- Center for Data Science, Waseda University
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- MATSUSHIMA Toshiyasu
- Department of Pure and Applied Mathematics, Waseda University
抄録
<p>Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.</p>
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E107.A (3), 523-525, 2024-03-01
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390017843890669312
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- ISSN
- 17451337
- 09168508
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可