Open AccessReliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines
Author(s) -
M. M. Manjurul Islam,
JaeYoung Kim,
Sheraz Ali Khan,
Jong-Myon Kim
Publication year - 2017
Publication title -
the journal of the acoustical society of america
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4976038
Subject(s) - bayesian probability , computer science , support vector machine , bayesian inference , artificial intelligence , inference , relevance vector machine , pattern recognition (psychology) , maximum a posteriori estimation , feature vector , variable order bayesian network , naive bayes classifier , machine learning , data mining , mathematics , statistics , maximum likelihood
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