International Business Machines Corporation
CLASS-DEPENDENT MACHINE LEARNING BASED INFERENCES

Abstract:

A computer-implemented method of performing class-dependent, machine learning based inferences includes accessing a test input and N class identifiers, wherein each class identifier of the N class identifiers identifies a respective class among M possible classes; forming N test input data structures, wherein each test input data structure of the N test input data structures is formed by aggregating the test input with a different one of the N class identifiers; performing an inference for each of the N test input data structures using a machine learning model that is trained using examples associating example input data structures with respective example outputs, wherein each respective example input data structure is formed by aggregating an example input with a different one of the N class identifiers; and returning a class-dependent inference result for each respective test input data structure based on the inference obtained for each respective test input data structure.