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Key Characteristic Variable Based Learning Model for Exemplar Learning

Exemplar learning is a kind of inductive learning, and it is a very important component in the research of machine learning. But the explosion problem of calculation which caused by it is a big trouble in use. Finding key feature of concept can solve this problem well. Time complexity analysis shows that the Exemplar learning problem can be translated into the problem that is independent of the number of instances by using the Key Feature Variable Based Learning Model for Exemplar learning, which can reduce the size of the search space, and this model is of practical significance to improve the efficiency of Exemplar learning and the stability of the system, while the risk didn't raise at all.