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CASAnova: A multiclass support vector machine model for the classification of human sperm motility patterns
Author(s) -
S.G. Goodson,
S. White,
A.M. Stevans,
Srikrishna S. Bhat,
C.-Y. Kao,
S. Jaworski,
T.R. Marlowe,
M. Kohlmeier,
L. McMillan,
S.H. Zeisel,
D.A. Oapos;Brien
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/a32a-er86
Subject(s) - support vector machine , motility , sperm motility , multiclass classification , sperm , structured support vector machine , artificial intelligence , relevance vector machine , vector (molecular biology) , computer science , machine learning , biology , pattern recognition (psychology) , andrology , microbiology and biotechnology , medicine , recombinant dna , biochemistry , gene

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