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？
As the name suggests, computational learning theory seems to be the study of computer systems that learn.
顾名思义，计算学习理论似乎是计算机系统的学习研究。
So I'd say machine learning is guided and inspired by the theoretical results you get from computational learning theory.
所以我想说，机器学习是引导和启发你从计算学习理论的理论结果。
I rather think it's talking of computational learning theory as a subfield of mathematics, though I admit that it can be misleading.
我想这是在计算学习理论作为数学的一个分支，虽然我承认这会误导。
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。
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。
Here the computational principle is reinforcement learning and active exploration, which may also be behind learning motor movements in an infant.
在这里计算原理是加强学习过程和主动探索过程，这些也许也是婴儿学习动机背后的原因。
"The idea is to try to understand some of the computational principles behind learning," Bartlett said.
“这种想法是想尝试去理解学习过程背后的计算原理，”Bartlett说道。
CLARION is a computational cognitive model different from other ones. It aims at studying the data of researches about the interaction between implicit and explicit skill learning.
CLARION是一个与其它认知理论明显不同的计算认知模型，它可用来研究内隐和外显学习交互作用的各种定量数据。
When your first computational device is a cell phone, then you start learning the most efficient ways to use a cell phone right away without having to transition from a laptop.
如果你的第一台计算设备是手机，你就会直接学习使用手机最有效的方式，不需要完成从电脑到手机的过渡。
A computational theory of learning from examples, extension matrix theory, is presented.
本文提出示例学习的一种计算理论，扩张矩阵论。
He has worked on computational biology problems since 1994, concentrating on machine learning applications in understanding multidimensional biological data.
他从1994年开始从事计算生物学的研究，兴趣主要集中在如何将机器学习应用于多维生物学数据的理解。
To reduce the computational cost of extreme learning machine (ELM) online training, a new algorithm called local extreme learning machine (LELM) was proposed.
针对训练样本贯序输入时的极端学习机（ELM）训练问题，提出一种可实现在线训练的局域极端学习机（LELM）。
To reduce the computational cost of extreme learning machine (ELM) online training, a new algorithm called local extreme learning machine (LELM) was proposed.
针对训练样本贯序输入时的极端学习机（ELM）训练问题，提出一种可实现在线训练的局域极端学习机（LELM）。
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