关键词: 归纳学习 机器学习 向量空间 相似度 距离

Abstract:

Inductive learning is one of the most important, the corest and the maturest branches in machine learning, but for using the knowledge acquired by lea rning and improving inductive learning algorithms, there are a lot of problems that are hard to solve using traditional methods. In this paper, the esse nce of inductive learning, i. e. induction depending on the similarity of data, is considered as the starting point. Fuzzy theory, which can quantitativ ely reflect the similarity among data, is introduced into inductive learning. This introduction gives a new method and idea for inductive learming.

Key words: inductive learning, machine learning, vector space, similarity, distance