图 书 馆开课单位--微软公司
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41Sparse Estimation with Structured Dictionaries[稀疏估计与结构化字典]
David P Wipf(微软公司) In the vast majority of recent work on sparse estimation algorithms, performance has been evaluated using ideal or quasi-ideal dictionaries (e.g., ran...
热度：52
David P Wipf(微软公司) In the vast majority of recent work on sparse estimation algorithms, performance has been evaluated using ideal or quasi-ideal dictionaries (e.g., ran...
热度：52
42Goals and Introduction[目标与介绍]
Keith Butler(微软公司) This course is intended to give newcomers enough background in the field of **HCI **\\ to make their conference experience much more meaningful. It pr...
热度：21
Keith Butler(微软公司) This course is intended to give newcomers enough background in the field of **HCI **\\ to make their conference experience much more meaningful. It pr...
热度：21
43Knows What It Knows: A Framework For Self-Aware Learning[知道它所知道的：一种自觉的学习框架]
Lihong Li(微软公司) We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was ...
热度：51
Lihong Li(微软公司) We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was ...
热度：51
44Human Factors in the World of Digital Computing and Digital Information[在数字计算和数字信息世界的人的因素]
Nataša Milić-Frayling(微软公司) Encoding data and computation in the digital form has enabled us to extend our capability to process information at rates and scales never possible be...
热度：35
Nataša Milić-Frayling(微软公司) Encoding data and computation in the digital form has enabled us to extend our capability to process information at rates and scales never possible be...
热度：35
45Multi-Label Learning with Millions of Categories[多标签类别学习]
Manik Varma(微软公司) Our objective is to build an algorithm for classifying a data point into a set of labels when the output space contains millions of categories. This i...
热度：109
Manik Varma(微软公司) Our objective is to build an algorithm for classifying a data point into a set of labels when the output space contains millions of categories. This i...
热度：109
46Wikipedia Pages as Entry Points for Book Search[作为图书搜索的入口点的维基百科页面]
Gabriella Kazai, Marijn Koolen, Nick Craswell(微软公司) Wikipedia Pages as Entry Points for Book Search
热度：35
Gabriella Kazai, Marijn Koolen, Nick Craswell(微软公司) Wikipedia Pages as Entry Points for Book Search
热度：35
47Redundant Bit Vectors for Searching High-Dimensional Regions[冗余位向量搜索高维区域]
John Platt(微软公司) Many multimedia applications reduce to the problem of searching a database of high-dimensional regions to see whether any overlap a query point. There...
热度：56
John Platt(微软公司) Many multimedia applications reduce to the problem of searching a database of high-dimensional regions to see whether any overlap a query point. There...
热度：56
48Probabilistic models for ranking and information extraction[排序和信息抽取的概率模型]
Ed Snelson(微软公司) I will summarize some current approaches to information extraction, which aims to obtain structured information from unstructured text sources such as...
热度：28
Ed Snelson(微软公司) I will summarize some current approaches to information extraction, which aims to obtain structured information from unstructured text sources such as...
热度：28
49Politics and Social Media[政治与社会媒体]
Derek Young;David Postman; Kathy Gill;Sumit Basu(微软公司) 政治与社会媒体
热度：14
Derek Young;David Postman; Kathy Gill;Sumit Basu(微软公司) 政治与社会媒体
热度：14
50Knowledge Representation and Reasoning - Discussion[关于知识表达与推理的讨论]
A. C. Surendran, Doug Lenat, Deepak Agarwal, Anton Schwaighofer(微软公司)
热度：28
A. C. Surendran, Doug Lenat, Deepak Agarwal, Anton Schwaighofer(微软公司)
热度：28