图 书 馆开课单位--明尼苏达大学
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1Classification and Clustering via Dictionary Learning with Structured Incoherence and Shared Features[基于结构不连贯和共享特征的字典学习的分类和聚类]
Pablo Sprechmann(明尼苏达大学) Classification and Clustering via Dictionary Learning with Structured Incoherence and Shared Features
热度：19
Pablo Sprechmann(明尼苏达大学) Classification and Clustering via Dictionary Learning with Structured Incoherence and Shared Features
热度：19
2Local Latent Space Models for Top-N Recommendation[Top-N推荐的局部潜在空间模型]
Evangelia Christakopoulou(明尼苏达大学) Users’ behaviors are driven by their preferences across various aspects of items they are potentially interested in purchasing, viewing, etc. La...
热度：43
Evangelia Christakopoulou(明尼苏达大学) Users’ behaviors are driven by their preferences across various aspects of items they are potentially interested in purchasing, viewing, etc. La...
热度：43
3Tendi: Tensor Disaggregation from Multiple Coarse Views[Tendi:多个粗略视图的张量分解]
Faisal Almutairi(明尼苏达大学) Tendi: Tensor Disaggregation from Multiple Coarse Views
热度：23
Faisal Almutairi(明尼苏达大学) Tendi: Tensor Disaggregation from Multiple Coarse Views
热度：23
4Large data analysis of genetic and imaging data[遗传和成像数据的大数据分析]
Aldo Rustichini(明尼苏达大学) In recent years neuroeconomic analysis of economic and strategic behavior has provided insights into the biological pathways affecting this behavior, ...
热度：39
Aldo Rustichini(明尼苏达大学) In recent years neuroeconomic analysis of economic and strategic behavior has provided insights into the biological pathways affecting this behavior, ...
热度：39
5The Cultural Evolution of Storytelling and Fairy Tales[文化进化的故事和童话]
Jack Zipes(明尼苏达大学) Jack David Zipes is an American retired Professor of German at the University of Minnesota, who has published and lectured on the subject of fairy tal...
热度：79
Jack Zipes(明尼苏达大学) Jack David Zipes is an American retired Professor of German at the University of Minnesota, who has published and lectured on the subject of fairy tal...
热度：79
6An Association Analysis Approach to Biclustering[双聚类关联分析方法]
Gaurav Pandey(明尼苏达大学) The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an impor...
热度：101
Gaurav Pandey(明尼苏达大学) The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an impor...
热度：101
7Combinatorics of the "coincidental" reflection groups[“巧合”反射群的组合学]
Vic Reiner(明尼苏达大学) Much modern combinatorics involves finite reflection groups, both real and complex. Mysteriously, many results work particularly well for the so-calle...
热度：74
Vic Reiner(明尼苏达大学) Much modern combinatorics involves finite reflection groups, both real and complex. Mysteriously, many results work particularly well for the so-calle...
热度：74
8Data Mining for Anomaly Detection[异常检测的数据挖掘]
Arindam Banerjee;Vipin Kumar;Jaideep Srivastava;Aleksandar Lazarevic;Varun Chandola(明尼苏达大学) Anomaly detection corresponds to discovery of events that typically do not conform to expected normal behavior. Such events are often referred to as a...
热度：47
Arindam Banerjee;Vipin Kumar;Jaideep Srivastava;Aleksandar Lazarevic;Varun Chandola(明尼苏达大学) Anomaly detection corresponds to discovery of events that typically do not conform to expected normal behavior. Such events are often referred to as a...
热度：47
9Introduction to Graphical Models for Data Mining[数据挖掘图形模型简介]
Arindam Banerjee(明尼苏达大学) Graphical models for large scale data mining constitute an exciting development in statistical data analysis which has gained significant momentum in ...
热度：56
Arindam Banerjee(明尼苏达大学) Graphical models for large scale data mining constitute an exciting development in statistical data analysis which has gained significant momentum in ...
热度：56
10Scaled Gradients on Grassmann Manifolds for Matrix Completion[基于完备的Grassmann流形上的尺度梯度]
Thanh Ngo(明尼苏达大学) This paper describes gradient methods based on a scaled metric on the Grassmann manifold for low-rank matrix completion. The proposed methods signific...
热度：51
Thanh Ngo(明尼苏达大学) This paper describes gradient methods based on a scaled metric on the Grassmann manifold for low-rank matrix completion. The proposed methods signific...
热度：51