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Vector space model / Latent semantic analysis / Probabilistic latent semantic analysis / Document retrieval / Search engine indexing / Subject / Information science / Information retrieval / Science


Combining Vector-Space and Word-based Aspect Models for Passage Retrieval Raymond Wan∗ Ichigaku Takigawa∗ ∗ †
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Document Date: 2007-02-16 13:07:43


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Company

MEDLINE / Intel / /

Country

Japan / Jordan / /

Currency

pence / /

Facility

University of Melbourne / Kyoto University / Introduction Kyoto University / The University of Melbourne / /

IndustryTerm

off-line processing / on-line databases / on-line processing / web site3 / information retrieval systems / inner vector product / on-line querying / offline pre-processing / /

Organization

Vo Ngoc Anh† Hiroshi Mamitsuka∗ Bioinformatics Center / University of Melbourne / Victoria / Federal Government / World Congress / Kyoto University / IDF / Institute for Chemical Research / Ministry of Education / Japan Department of Computer Science and Software Engineering / /

Person

MAX NON MATCH / MAX MATCH / Raymond Wan∗ Ichigaku Takigawa / Hiroshi Mamitsuka / /

Position

author / /

ProvinceOrState

Prince Edward Island / Victoria / /

PublishedMedium

Journal of the ACM / Computational Linguistics / Journal of the Royal Statistical Society / Machine Learning / Nucleic Acids Research / /

RadioStation

NO AM 500 / PARAGRAPH AM 1 / 000 / AM 1 / 000 / NO AM 1 / 000 / /

Technology

ALPHA / Genomics / RAM / Bioinformatics / Machine Learning / HTML / EM algorithm / Lovins algorithm / be estimated using the EM algorithm / /

URL

http /

SocialTag