Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.

Inatsu, Yu; Karasuyama, Masayuki; Inoue, Keiichi; Kandori, Hideki; Takeuchi, Ichiro

Inatsu, Yu; Karasuyama, Masayuki; Inoue, Keiichi; Kandori, Hideki; Takeuchi, Ichiro.

Afiliación

Inatsu Y; RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan yu.inatsu@riken.jp.
Karasuyama M; Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, Japan; JST, PRESTO, Kawaguchi, Saitama, 332-0012, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0047, Japan karasuyama@nitech.a
Inoue K; Institute for Solid State Physics, University of Tokyo, Kashiwa, Chiba, 277-8561, Japan inoue@issp.u-tokyo.ac.jp.
Kandori H; Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, Japan kandori@nitech.ac.jp.
Takeuchi I; RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan; Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0

Neural Comput ; 32(10): 1998-2031, 2020 10.

Article en En | MEDLINE | ID: mdl-32795233

Asunto(s)

Modelos Lineales; Aprendizaje Automático Supervisado; Teorema de Bayes; Intervalos de Confianza; Humanos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Lineales / Aprendizaje Automático Supervisado Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neural Comput Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Japón

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