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Vanilla PRM: a novel method for learning Probabilistic Relational Models
https://ipsj.ixsq.nii.ac.jp/records/196753
https://ipsj.ixsq.nii.ac.jp/records/196753817d4314-bef4-40c0-b96f-fc4e1b336741
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-Z81-2D-06.pdf (585.6 kB)
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Copyright (c) 2019 by the Information Processing Society of Japan
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| Item type | National Convention(1) | |||||||||
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| 公開日 | 2019-02-28 | |||||||||
| タイトル | ||||||||||
| タイトル | Vanilla PRM: a novel method for learning Probabilistic Relational Models | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 人工知能と認知科学 | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| 創価大 | ||||||||||
| 著者所属 | ||||||||||
| サンパウロ大 | ||||||||||
| 著者名 |
Luiz, Mormille
× Luiz, Mormille
× Fabio, Gagliardi
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Probabilistic Relational Models (PRM) extend Bayesian networks allowing the representation of information in a relational database, by introducing relations and individuals. However, learning a PRM structure from relational data is a more complex task than learning a Bayesian Network from “flat” data. The main difficulties that arise while learning a PRM are establishing what are the legal dependency structures, searching for possible structures, and scoring them. We propose a novel method for searching for a PRM structure using a score typically used to learn Bayesian networks and apply it to a real, large scale problem, achieving near state of the art performance. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00349328 | |||||||||
| 書誌情報 |
第81回全国大会講演論文集 巻 2019, 号 1, p. 55-56, 発行日 2019-02-28 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
