图 书 馆开课单位--艾克斯-马赛大学
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1Chromatic PAC-Bayes Bounds for Non-IID Data[有色的PAC贝叶斯估计非独立同分布的数据]
Liva Ralaivola(艾克斯-马赛大学) Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned with \iid data, and it is particularly so for margin classi...
热度：43
Liva Ralaivola(艾克斯-马赛大学) Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned with \iid data, and it is particularly so for margin classi...
热度：43
2Probability and Mathematical Needs[概率和数学需求]
Sandrine Anthoine(艾克斯-马赛大学) This lectures covers basics in linear algebra and probabilities as well as a brief introduction to optimization. In linear algebra, the lecture starts...
热度：61
Sandrine Anthoine(艾克斯-马赛大学) This lectures covers basics in linear algebra and probabilities as well as a brief introduction to optimization. In linear algebra, the lecture starts...
热度：61
3Introduction to Kernel Methods[核方法的简介]
Liva Ralaivola(艾克斯-马赛大学) In this talk, we are going to see the basics of kernels methods. After a brief presentation of a very simple kernel classifier, we'll give the definit...
热度：59
Liva Ralaivola(艾克斯-马赛大学) In this talk, we are going to see the basics of kernels methods. After a brief presentation of a very simple kernel classifier, we'll give the definit...
热度：59
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