图 书 馆开课单位--微软公司
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7172TrueSkill and AdPredictor: Large Scale Machine Learning in the Wild[TrueSkill和AdPredictor：大型机在野生环境中学习]
Thore Graepel(微软公司) Probabilistic Graphical Models play a crucial role in Microsoft's online services. In this talk, I will describe two powerful applications of mach...
热度：203
Thore Graepel(微软公司) Probabilistic Graphical Models play a crucial role in Microsoft's online services. In this talk, I will describe two powerful applications of mach...
热度：203
73Efficient algorithms for estimating multi-view mixture models[多视图混合估计模型的有效算法]
Daniel Hsu(微软公司) Mixture models are a staple in machine learning and applied statistics for treating data taken from multiple sub-populations. For many classes of mixt...
热度：33
Daniel Hsu(微软公司) Mixture models are a staple in machine learning and applied statistics for treating data taken from multiple sub-populations. For many classes of mixt...
热度：33
74The Complexity of Learning Verification[学习验证的复杂性]
John Langford(微软公司) Informally, one branch of learning theory focuses on making statements of the form 'this learned classifier is at least X good'. A common intu...
热度：63
John Langford(微软公司) Informally, one branch of learning theory focuses on making statements of the form 'this learned classifier is at least X good'. A common intu...
热度：63
75Can Computers Understand Their Own Programs?[计算机能理解他们自己的程序吗?]
Charles Antony Richard Hoare(微软公司) The answer depends on ideas of philosophy, logic, proofs of programs, and self-application. These are interests which I share with Turing, and which g...
热度：49
Charles Antony Richard Hoare(微软公司) The answer depends on ideas of philosophy, logic, proofs of programs, and self-application. These are interests which I share with Turing, and which g...
热度：49
76KDD - CUP 2004[KDD-银联2004]
Rich Caruana(微软公司) Decision trees are intelligible, but do they perform well enough that you should use them? Have SVMs replaced neural nets, or are neural nets still be...
热度：39
Rich Caruana(微软公司) Decision trees are intelligible, but do they perform well enough that you should use them? Have SVMs replaced neural nets, or are neural nets still be...
热度：39
77Online Search and Advertising, Future and Present[在线搜索与广告，未来与现在]
Chris Burges(微软公司) Search engine companies are gathering treasure troves of user-generated data. It has already been shown that such data can be used to directly improve...
热度：53
Chris Burges(微软公司) Search engine companies are gathering treasure troves of user-generated data. It has already been shown that such data can be used to directly improve...
热度：53
78Greetings and Introduction and Summary of Topics and Themes[问候，介绍,主题和主题总结]
Gabriella Kazai, Nataša Milić-Frayling(微软公司) This workshop aims to bring together researchers and industry practitioners, in Information Retrieval, Digital Libraries, eBooks, Human Computer Inter...
热度：40
Gabriella Kazai, Nataša Milić-Frayling(微软公司) This workshop aims to bring together researchers and industry practitioners, in Information Retrieval, Digital Libraries, eBooks, Human Computer Inter...
热度：40
79Mining the Web to Facilitate Fast and Accurate Approximate Match[挖掘网络促进快速和准确的近似匹配]
Venkatesh Ganti; Surajit Chaudhuri; Dong Xin(微软公司) Tasks relying on recognizing entities have recently received significant attention in the literature. Many such tasks assume the existence of referenc...
热度：35
Venkatesh Ganti; Surajit Chaudhuri; Dong Xin(微软公司) Tasks relying on recognizing entities have recently received significant attention in the literature. Many such tasks assume the existence of referenc...
热度：35
80Discovering and Using Groups to Improve Personalized Search [发现和使用组来改进个性化搜索]
Jaime Teevan; Meredith Ringel Morris;Steve Bush(微软公司) Discovering and Using Groups to Improve Personalized Search
热度：33
Jaime Teevan; Meredith Ringel Morris;Steve Bush(微软公司) Discovering and Using Groups to Improve Personalized Search
热度：33