... 计算学习 computational learning 计算学习理论 Computational learning theory 计算机化学习 Computer-Based Learning ...
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Computational Learning Theory 机器学习理论 ; 计算学习理论
We concluded that as a formal frame analyzing and designing algorithm, the research achievements of computational learning theory provides important guidance.
得出了计算学习理论作为分析与设计算法的一种形式化框架,它的研究成果给机器学习算法提供了重要指导意义的结论。
参考来源 - 基于计算学习的水淹层识别方法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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？
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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