Statistical model learning apparatus, statistical model learning method, and program

摘要

The purpose of this statistical model learning apparatus is to efficiently select data effective for improving the quality of a statistical model. The data classifying unit 601 extracts a plurality of subsets 613 from the learning data 612 with reference to the structure information 611 that the data to be learned normally has. The statistical model learning unit 602 creates a statistical model 614 using each of the plurality of subsets 613. The data recognition means 603 recognizes data 615 different from the learning data 612 using each statistical model 614 and obtains individual recognition results 616. The information amount calculation unit 604 calculates the information amount of the data 615 from the degree of mismatch between the statistical models of the recognition results. The data selection means 605 selects data with a high amount of information and adds it to the learning data 612.