Jan 15, 2021Open AccessPreprint
Learning methods such as neural network and decision tree need a certain number of training samples to achieve a certain level of generalization accuracy. Analytic learning uses prior knowledge and deductive reasoning to expand the information provided by training examples, so it is not restricted by the same boundaries. This paper introduces an analytic learning method called explanation based learning (EBL). In interpretive learning, prior knowledge is used to analyze how the observed learning...
