开课单位--明尼苏达大学
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Classification 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:35
Pablo Sprechmann(明尼苏达大学) Classification and Clustering via Dictionary Learning with Structured Incoherence and Shared Features
热度:35

Local 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:62
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:62

Tendi: 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:33
Faisal Almutairi(明尼苏达大学) Tendi: Tensor Disaggregation from Multiple Coarse Views
热度:33

Large 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:58
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:58

The 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:95
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:95

An 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:109
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:109

Combinatorics 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:92
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:92

Data 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:64
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:64

Introduction 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:70
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:70

Scaled 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:63
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:63