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Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model.

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Title: Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model.
Authors: Fisher CK; Department of Physics, Boston University, Boston, MA 02215, U.S.A. charleskennethfisher@gmail.com., Mehta P; Department of Physics, Boston University, Boston, MA 02215, U.S.A. pankajm@bu.edu.
Source: Neural computation [Neural Comput] 2015 Nov; Vol. 27 (11), pp. 2411-22. Date of Electronic Publication: 2015 Sep 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-888X (Electronic) Linking ISSN: 08997667 NLM ISO Abbreviation: Neural Comput Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1162/NECO_a_00780
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      – Code: eng
        Text: English
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        StartPage: 2411
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      – TitleFull: Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model.
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            NameFull: Fisher CK
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              Text: 2015 Nov
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              Value: 27
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            – TitleFull: Neural computation
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