PAC learning model is the fundamental of computational learning theory, it provides a probabilistic framework for the study of learning and generalization.

而PAC学习模型是计算学习理论的基础，它为研究学习及泛化问题提供了一种基本的概率框架。

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What is the difference between computational learning theory and machine learning?

计算学习理论和机器学习之间的区别是什么？

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Computational learning theory provides formal framework for comparing the performance of two algorithms, and can determine the sample complexity and the computational complexity of some concept class.

计算学习理论为比较两算法的性能提供了形式化的框架，并能确定某概念类的计算复杂度和样本复杂度。

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