图 书 馆开课单位--领英公司
11
12
13
14
15
16
17
11Predictive Discrete Latent Factor Models for Large Scale Dyadic Data [离散的潜在因素模型预测大型二进数据]
Deepak Agarwal(领英公司) We propose a novel statistical method to predict large scale dyadic response variables in the presence of covariate information. Our approach simultan...
热度：67
Deepak Agarwal(领英公司) We propose a novel statistical method to predict large scale dyadic response variables in the presence of covariate information. Our approach simultan...
热度：67
12Augmenting the Generalized Hough Transform to Enable the Mining of Petroglyphs[扩大广义Hough变换，实现岩画开采]
Qiang Zhu(领英公司) Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and...
热度：57
Qiang Zhu(领英公司) Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and...
热度：57
13Recommender Problems for Web Applications[Web应用程序的推荐程序问题]
Bee-Chung Chen, Deepak Agarwal(领英公司) In this half-day tutorial, we provide an in-depth introduction of data mining challenges that arise in the context of recommender problems for web app...
热度：62
Bee-Chung Chen, Deepak Agarwal(领英公司) In this half-day tutorial, we provide an in-depth introduction of data mining challenges that arise in the context of recommender problems for web app...
热度：62
14Fast Online Learning through Offline Initialization for Time-sensitive Recommendation[通过离线初始化快速在线学习时间敏感的建议]
Bee-Chung Chen(领英公司) Recommender problems with large and dynamic item pools are ubiquitous in web applications like content optimization, online advertising and web search...
热度：64
Bee-Chung Chen(领英公司) Recommender problems with large and dynamic item pools are ubiquitous in web applications like content optimization, online advertising and web search...
热度：64
15fLDA: Matrix Factorization through Latent Dirichlet Allocation[fLDA:基于潜在狄利克雷分布的矩阵分解 ]
Bee-Chung Chen(领英公司) We propose fLDA, a novel matrix factorization method to predict ratings in recommender system applications where a “bag-of-words” represen...
热度：58
Bee-Chung Chen(领英公司) We propose fLDA, a novel matrix factorization method to predict ratings in recommender system applications where a “bag-of-words” represen...
热度：58
16From Mining the Web to Inventing the New Sciences Underlying the Internet [从网络挖掘到发明互联网新科学]
Usama Fayyad(领英公司) As the Internet continues to change the way we live, find information, communicate, and do business, it has also been taking on a dramatically increas...
热度：21
Usama Fayyad(领英公司) As the Internet continues to change the way we live, find information, communicate, and do business, it has also been taking on a dramatically increas...
热度：21
17Estimating Rates of Rare Events with Multiple Hierarchies through Scalable Log-linear Models[用可伸缩对数线性模型估计多个层次的稀有事件率]
Deepak Agarwal(领英公司) We consider the problem of estimating rates of rare events for high dimensional, multivariate categorical data where several dimensions are hierarchic...
热度：29
Deepak Agarwal(领英公司) We consider the problem of estimating rates of rare events for high dimensional, multivariate categorical data where several dimensions are hierarchic...
热度：29