MISCLASSIFICATION DETECTION APPARATUS, METHOD, AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To detect misclassified samples with high accuracy by suppressing adverse effects to be given to learning of a statistical classifier which is utilized for misclassification detection by the misclassified samples.SOLUTION: A probability model generation unit 12 divides a misclassification detection object sample set D into two subsample sets Dand D, and calculates a parameter estimation value ^Ψ of a conditional class probability model P(y|x;Ψ) which is a statistical classifier adapted to both of one subsample set Dand a sample set Dwithout a label. A misclassification determination unit 16 calculates conditional class probability P(y|x;^Ψ) to the respective categories of the respective misclassification detection object samples (x, y) included in the subsample set Dby using the parameter estimation value ^Ψ, and determines whether or not the respective misclassification detection object samples (x, y) are misclassified samples.