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PAC学习理论

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PAC学习理论不关心假设选择算法，他关心的是能否从假设空间H中学习一个好的假设h。此理论不关心怎样在假设空间中寻找好的假设，只关心能不能找得到。现在我们在来看一下什么叫“好假设”？只要满足两个条件(PAC辨识条件)即可

Deep learning tutorial on Caffe technology : basic commands...
- http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html
Google Cloud Tutorial
- http://cs231n.github.io/gce-tutorial/
BibSLEIGH — Improving Query Correctness Using...
- http://bibtex.github.io/ECIR-2010-CoxZFH.html
在 OS X 与 Window...
- https://www.zhihu.com/question/27258450
安卓上如何设置代理软件的PAC？ - 知乎
- https://www.zhihu.com/question/29469685
Probably approximately correct learning - Wikipedia
- https://en.wikipedia.org/wiki/Probably_approximately_correct_learning
zhihu.com/lives
- https://www.zhihu.com/lives
为什么统计学习算法中常讨论KL距离? - 知乎
- https://www.zhihu.com/question/29980971/answer/93489660
机器学习该怎么入门？ - 知乎
- https://www.zhihu.com/question/20691338/answer/53910077
WonderList论文心愿单 - SIGGRAPH 2017 | CG中的深度学习
- https://zhuanlan.zhihu.com/p/26856561
神经网络有什么理论支持
- https://zhuanlan.zhihu.com/p/27609166
NetworkX Tutorial
- https://networkx.github.io/documentation/networkx-1.6/_downloads/networkx_tutorial.pdf
为什么统计学习算法中常讨论KL距离? - 知乎
- https://www.zhihu.com/question/29980971
my paper | 机器学习及自然语言处理
- https://wangtuousst.github.io/2016/09/08/20160905-mypaper/
my paper | 机器学习及自然语言处理
- https://wangtuousst.github.io/2016/09/08/20160905-Neurocomputing-ensemble/
yafeixu2017.github.io | python机器学习笔记
- https://yafeixu2017.github.io/
Machine Learning Overview | ShinChan's Blog
- http://chenqx.github.io/2014/10/10/Machine-Learning-Overview/
Categories
- http://bindog.github.io/category/
读《西瓜书》 - Puke的博客 | Puke's Blog
- https://puke3615.github.io/2017/09/02/Watermelon-Book/
Probably Approximately Correct — a Formal Theory of...
- https://jeremykun.com/2014/01/02/probably-approximately-correct-a-formal-theory-of-learning/

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