图 书 馆开课单位--加州大学伯克利分校
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1Learning Certifiably Optimal Rule Lists for Categorical Data[学习可证明的分类数据最优规则列表]
Elaine Angelino(加州大学伯克利分校) We present the design and implementation of a custom discrete optimization technique for building rule lists over a categorical feature space. Our alg...
热度：19
Elaine Angelino(加州大学伯克利分校) We present the design and implementation of a custom discrete optimization technique for building rule lists over a categorical feature space. Our alg...
热度：19
2Approval Voting and Incentives in Crowdsourcing[众包中的审批投票和激励措施]
Nihar B. Shah(加州大学伯克利分校) The growing need for labeled training data has made crowdsourcing an important part of machine learning. The quality of crowdsourced labels is, howeve...
热度：17
Nihar B. Shah(加州大学伯克利分校) The growing need for labeled training data has made crowdsourcing an important part of machine learning. The quality of crowdsourced labels is, howeve...
热度：17
3Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources[多源文本情感领域适应的课程周期]
Sicheng Zhao(加州大学伯克利分校) Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
热度：41
Sicheng Zhao(加州大学伯克利分校) Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
热度：41
4The Stanford Autonomous Helicopter[斯坦福大学自主研制的直升机]
Pieter Abbeel, Andrew Ng, Adam Coates(加州大学伯克利分校) Stanford's Autonomous Helicopter project pushes the limits of autonomous flight control by teaching a computer to fly a competition-class remote c...
热度：190
Pieter Abbeel, Andrew Ng, Adam Coates(加州大学伯克利分校) Stanford's Autonomous Helicopter project pushes the limits of autonomous flight control by teaching a computer to fly a competition-class remote c...
热度：190
5Reachability and Learning for Hybrid Systems[混合系统的可达性与学习]
Claire J. Tomlin(加州大学伯克利分校) Hybrid systems are a modeling tool allowing for the composition of continuous and discrete state dynamics. They can be represented as continuous syste...
热度：72
Claire J. Tomlin(加州大学伯克利分校) Hybrid systems are a modeling tool allowing for the composition of continuous and discrete state dynamics. They can be represented as continuous syste...
热度：72
6The Future of Image Search[ 图像搜索的未来 ]
Jitendra Malik(加州大学伯克利分校) There are billions of images on the Internet. Today, searching for a desired image is largely based on textual data such as filename or associated tex...
热度：46
Jitendra Malik(加州大学伯克利分校) There are billions of images on the Internet. Today, searching for a desired image is largely based on textual data such as filename or associated tex...
热度：46
7社会认知心理学
John F. KIHLSTROM (加州大学伯克利分校) 中文字幕；共25讲；简介：加州大学伯克利分校公开课：社会认知心理学 University of California, Berkeley /courses ：Social Cognition
热度：76
John F. KIHLSTROM (加州大学伯克利分校) 中文字幕；共25讲；简介：加州大学伯克利分校公开课：社会认知心理学 University of California, Berkeley /courses ：Social Cognition
热度：76
8家庭与夫妇心理学-亲密关系
Benjamin Karney (加州大学伯克利分校) 中文字幕；共17讲；简介：本课程探究了长期以来人们对家庭夫妇间亲密关系的理解和论断。由于数千年来科学家对亲密关系研究的忽视，当通俗心理学占据了关系学的主...
热度：92
Benjamin Karney (加州大学伯克利分校) 中文字幕；共17讲；简介：本课程探究了长期以来人们对家庭夫妇间亲密关系的理解和论断。由于数千年来科学家对亲密关系研究的忽视，当通俗心理学占据了关系学的主...
热度：92
9Graph Helmholtzian and rank learning[图Helmholtzian和等级学习]
Lek-Heng Lim(加州大学伯克利分校) The graph Helmholtzian is the graph theoretic analogue of the Helmholtz operator or vector Laplacian, in much the same way the graph Laplacian is the ...
热度：57
Lek-Heng Lim(加州大学伯克利分校) The graph Helmholtzian is the graph theoretic analogue of the Helmholtz operator or vector Laplacian, in much the same way the graph Laplacian is the ...
热度：57
10Sparse modeling: some unifying theory and “topic-imaging”[稀疏建模：统一理论与主题成像]
Bin Yu(加州大学伯克利分校) Information technology has enabled collection of massive amounts of data in science, engineering, social science, finance and beyond. Extracting usefu...
热度：46
Bin Yu(加州大学伯克利分校) Information technology has enabled collection of massive amounts of data in science, engineering, social science, finance and beyond. Extracting usefu...
热度：46