Emphasizes questions of inductive learning and inference, and the representation of knowledge.

著重在归纳学习、推断及知识表现的问题探讨。

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Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.

贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。

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Category learning is increasingly concerned in the last decade. There are two forms of category learning, classification learning and inference learning.

类别学习在近十年受到研究者的极大关注，类别学习有两种形式，分别为分类学习和推理学习。

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