Patent Document ID: 9218572
Application ID: 12270721
Patent Status: 1

Claim One:
1. A system for generating a plurality of models for classifying input data into a plurality of classes on the basis of training data in which elements are previously classified into the plurality of classes, the system comprising: a computer processor; a sampling unit using the computer processor for sampling, from the training data, a plurality of datasets each including a predetermined number of elements classified into a minority class and a corresponding number of elements classified into a majority class, the corresponding number being determined in accordance with the predetermined number, wherein the sampling unit samples the plurality of datasets from the training data so that a ratio between the number of elements classified into the minority class and the number of elements classified into the majority class in each of the datasets follows a negative multinomial distribution; and a learning unit using the computer processor for learning each of the plurality of models for classifying the input data into the plurality of classes, by using a machine learning technique on the basis of the plurality of sampled datasets.