PREDICTOR SELECTION DEVICE, PREDICTOR SELECTION METHOD, AND PREDICTOR SELECTION PROGRAM

摘要

PROBLEM TO BE SOLVED: To select an optimum predictor for an asymmetric similarity relationship.;SOLUTION: A cluster representation DB10 stores a feature representation for each training cluster. A transformation matrix DB40 stores a transformation matrix for maximizing asymmetric similarity for each set of training clusters after transformation of the feature representation of DB10. A similarity calculation section 50 uses the transformation matrix in DB40 to transform a feature representation of an input test cluster. Similarity between the feature representation of the transformed test cluster and each feature representation stored in DB10 is computed, and an ID of a training cluster with maximum similarity is sent to a predictor selection section 70. The predictor selection section 70 selects a predictor generated by the cluster of the received ID from a predictor DB60 and outputs the selected predictor.;COPYRIGHT: (C)2012,JPO&INPIT