Ranking the whole MEDLINE database according to a large training set using text indexing
about
MedlineRanker: flexible ranking of biomedical literatureAutomating document classification for the Immune Epitope DatabaseSystematic association of genes to phenotypes by genome and literature miningUsing cited references to improve the retrieval of related biomedical documentsThe Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.BioDEAL: community generation of biological annotations.MScanner: a classifier for retrieving Medline citations.BibGlimpse: the case for a light-weight reprint manager in distributed literature researchRecent developments in StemBase: a tool to study gene expression in human and murine stem cells.Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMSIntegrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search.
P2860
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P2860
Ranking the whole MEDLINE database according to a large training set using text indexing
description
2005 nî lūn-bûn
@nan
2005 թուականին հրատարակուած գիտական յօդուած
@hyw
2005 թվականին հրատարակված գիտական հոդված
@hy
2005年の論文
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2005年論文
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2005年論文
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2005年論文
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2005年論文
@zh-mo
2005年論文
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2005年论文
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name
Ranking the whole MEDLINE database according to a large training set using text indexing
@ast
Ranking the whole MEDLINE database according to a large training set using text indexing
@en
Ranking the whole MEDLINE database according to a large training set using text indexing
@nl
type
label
Ranking the whole MEDLINE database according to a large training set using text indexing
@ast
Ranking the whole MEDLINE database according to a large training set using text indexing
@en
Ranking the whole MEDLINE database according to a large training set using text indexing
@nl
prefLabel
Ranking the whole MEDLINE database according to a large training set using text indexing
@ast
Ranking the whole MEDLINE database according to a large training set using text indexing
@en
Ranking the whole MEDLINE database according to a large training set using text indexing
@nl
P2860
P3181
P356
P1433
P1476
Ranking the whole MEDLINE database according to a large training set using text indexing
@en
P2093
Brian P Suomela
P2860
P2888
P3181
P356
10.1186/1471-2105-6-75
P407
P577
2005-03-24T00:00:00Z
P5875
P6179
1021738414