图 书 馆开课单位--亚马逊公司
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11Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decompo sition[基于半监督二元多目标张量分解的审查滥用检测]
Anil Yelundur(亚马逊公司) Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usef...
热度：49
Anil Yelundur(亚马逊公司) Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usef...
热度：49
12From collaborative filtering to multitask learning[从协作过滤到多任务学习]
Alexander J. Smola(亚马逊公司) Recent work on collaborative filtering has led to a large number of both scalable and theoretically well founded algorithms. In this paper, we show th...
热度：46
Alexander J. Smola(亚马逊公司) Recent work on collaborative filtering has led to a large number of both scalable and theoretically well founded algorithms. In this paper, we show th...
热度：46
13Nonparametric Tests between Distributions[分布之间的非参数测试]
Alexander J. Smola(亚马逊公司) Reproducing Kernel Hilbert Spaces have been mainly used for estimation. Distributional tests in this area were mainly concerned with tests for indepen...
热度：46
Alexander J. Smola(亚马逊公司) Reproducing Kernel Hilbert Spaces have been mainly used for estimation. Distributional tests in this area were mainly concerned with tests for indepen...
热度：46
14Unifying Divergence Minimization and Statistical Inference via Convex Duality[通过凸二元性统一发散最小化和统计推断]
Alexander J. Smola(亚马逊公司) We unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approxima...
热度：53
Alexander J. Smola(亚马逊公司) We unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approxima...
热度：53
15Matching Pursuit Kernel Fisher Discriminant Analysis[匹配追踪核Fisher判别分析]
Tom Diethe(亚马逊公司) We consider the problem of high-dimensional non-linear variable selection for supervised learning. Our approach is based on performing linear selectio...
热度：26
Tom Diethe(亚马逊公司) We consider the problem of high-dimensional non-linear variable selection for supervised learning. Our approach is based on performing linear selectio...
热度：26
16Medical Text Mining[医学文本挖掘]
Tom Diethe(亚马逊公司) The British Medical Journal Group (BMJ Group) has a wide and var- ied content set, including a suite of medical journals, online learning materials, b...
热度：45
Tom Diethe(亚马逊公司) The British Medical Journal Group (BMJ Group) has a wide and var- ied content set, including a suite of medical journals, online learning materials, b...
热度：45
17Exponential Families[指数分布族]
Alexander J. Smola(亚马逊公司) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：41
Alexander J. Smola(亚马逊公司) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：41
18Kernel methods and Support Vector Machines[核方法与支持向量机]
Alexander J. Smola(亚马逊公司) The tutorial will introduce the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a deriv...
热度：33
Alexander J. Smola(亚马逊公司) The tutorial will introduce the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a deriv...
热度：33