开课单位--微软公司

81
Computer Vision[计算机视觉]
  Andrew Blake(微软公司)
热度:59

82
Agnostic Active Learning[不可知论者的主动学习]
  John Langford(微软公司) The great promise of active learning is that via interaction the number of samples required can be reduced to logarithmic in the number required for s...
热度:138

83
Probabilistic Machine Learning in Computational Advertising[计算广告中的概率机器学习]
  Thore Graepel(微软公司) In the past years online advertising has grown at least an order of magnitude faster than advertising on all other media. This talk focuses on adverti...
热度:54

84
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso[通过稳定性论证选择差分私有特征,以及套索的鲁棒性]
  Abhradeep Guha Thakurta(微软公司) We design differentially private algorithms for statistical model selection. Given a data set and a large, discrete collection of “models”...
热度:80

85
Inferring the structure and scale of modular networks[推断模块化网络的结构和规模]
  Jake M. Hofman(微软公司) We present an efficient, principled, and interpretable technique for inferring module assignments and for identifying the optimal number of modules in...
热度:34

86
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem [用于强盗调查问题的自适应众包算法]
  Aleksandrs Slivkins(微软公司) Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applicati...
热度:119

87
A Comparative Analysis of Cascade Measures for Novelty and Diversity [新颖性和多样性的级联措施比较分析]
  Nick Craswell(微软公司) Traditional editorial effectiveness measures, such as nDCG, remain standard for Web search evaluation. Unfortunately, these traditional measures can i...
热度:74

88
TwitterSearch: A Comparison of Microblog Search and Web Search[Twitter的搜索:微博搜索和Web搜索的比较]
  Jaime Teevan(微软公司) Social networking Web sites are not just places to maintain relationships; they can also be valuable information sources. However, little is known abo...
热度:43

90
So.cl: An Interest Network for Informal Learning [so.cl:非正式学习的兴趣网络]
  Shelly D. Farnham(微软公司) Web search engines emerged prior to the dominance of social media. What if we imagined search as integrating with social media from the ground up? So....
热度:61