Calculating posterior probability of classes
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United States of America Patent
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Jul 28, 2020
Grant Date -
Nov 9, 2017
app pub date -
Nov 27, 2014
filing date -
Nov 27, 2014
priority date (Note) -
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Abstract
A plurality of binary support vector machines (SVM) are trained to vote between two of a plurality of classes. Each of the binary SVMs vote between a different pair of the plurality of classes. A set of validated samples is input to each of the binary SVMs. The set of validated samples includes samples of each of the classes. Likelihood estimates are determined based on votes of the binary SVMs. A prior probability distribution (prior) is assigned for each of the classes. A posterior probability is calculated for each of the classes based on the determined likelihood estimates and the assigned priors.
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