SYSTEM AND METHOD FOR MODIFYING A KNOWLEDGE REPRESENTATION BASED ON A MACHINE LEARNING CLASSIFIER

摘要

Systems and methods are provided for modifying a knowledge representation based on a machine-learning classifier. The knowledge representation is synthesized based on an object of interest. The machine-learning classifier is applied to predict relevance of validation data items. The knowledge representation is modified based on the results of the machine-learning classifier and the validation data. The modified knowledge representation can be used in subsequent applications of the classifier.