PU Classification Device, PU Classification Method, and Recording Medium

摘要

A PU classification device includes a classifier that performs maximum likelihood classification of an instance to be classified as a positive instance or a negative instance based on a magnitude relationship between a first probability that the instance is sampled from a population distribution for learning as the positive instance and a second probability that the instance is sampled from the population distribution for learning, when the instance to be classified is given, and a processor that learns the classifier by estimating a distribution function of the first probability from a set of positive instances sampled from the population distribution for learning and by estimating a distribution function of the second probability from a set of instances that are sampled from the population distribution for learning and are unknown whether they are positive or negative, wherein an instance to be classified is classified as the positive instance or the negative instance by using the classifier learned by the processor.