Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.
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Using text mining for study identification in systematic reviews: a systematic review of current approachesEcological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring SystemIdentification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier.
P2860
Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
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2012年學術文章
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name
Direct comparison between supp ...... dical abstract classification.
@en
Direct comparison between supp ...... dical abstract classification.
@nl
type
label
Direct comparison between supp ...... dical abstract classification.
@en
Direct comparison between supp ...... dical abstract classification.
@nl
prefLabel
Direct comparison between supp ...... dical abstract classification.
@en
Direct comparison between supp ...... dical abstract classification.
@nl
P2860
P1476
Direct comparison between supp ...... dical abstract classification.
@en
P2093
Vera Sazonova
P2860
P356
10.1136/AMIAJNL-2012-001072
P50
P577
2012-06-08T00:00:00Z