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Boosting naïve Bayesian learning on a large subset of MEDLINE.

Boosting naïve Bayesian learning on a large subset of MEDLINE. Research Abstract Details 

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  • Boosting naïve Bayesian learning on a large subset of MEDLINE. Abstract Text:

    w j wilburW J Wilbur,

    We are concerned with the rating of new documents that appear in a large database (MEDLINE) and are candidates for inclusion in a small specialty database (REBASE). The requirement is to rank the new documents as nearly in order of decreasing potential to be added to the smaller database as possible, so as to improve the coverage of the smaller database without increasing the effort of those who manage this specialty database. To perform this ranking task we have considered several machine learning approaches based on the naï ve Bayesian algorithm. We find that adaptive boosting outperforms naï ve Bayes, but that a new form of boosting which we term staged Bayesian retrieval outperforms adaptive boosting. Staged Bayesian retrieval involves two stages of Bayesian retrieval and we further find that if the second stage is replaced by a support vector machine we again obtain a significant improvement over the strictly Bayesian approach.

    Boosting naïve Bayesian learning on a large subset of MEDLINE. Publishing Authors By Initials

    wj wilburWJ Wilbur,

    For similar pubmed: medline research abstracts see: pubmed: medline research

    PUBMED ID PMID:

    MEDLINE DATE:

    Boosting naïve Bayesian learning on a large subset of MEDLINE. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Proceedings / AMIA ... Annual Symposium. AMIA Symp

    VOLUME:

    Page Numbers: 918-22

    Journal Abbreviation:

    ISSN: 1531-605X

    DAY: 8

    MONTH: 02

    YEAR: 2000

    Boosting naïve Bayesian learning on a large subset of MEDLINE. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 100883449

    Boosting naïve Bayesian learning on a large subset of MEDLINE. Keywords Mesh Terms:

    KEYWORDS: MEDLINE

    MESH TERMS: methods

    Chemical & Substance for Abstract: Boosting naïve Bayesian learning on a large subset of MEDLINE. Information

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    Grant and Affiliation Information for Boosting naïve Bayesian learning on a large subset of MEDLINE.

    AFFILIATION: National Center for Biotechnology Information (NCBI), National Library of Medicine, Bethesda, MD 20894, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY:

    GRANT:

    ACRONYM:

    MEDLINETA: Proc AMIA Symp

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    Boosting naïve Bayesian learning on a large subset of MEDLINE Related Publications

     

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