开课单位--新泽西州立大学
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News for the people[人民的新闻]
  Mor Naaman(新泽西州立大学) 人民的新闻
热度:39

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A Cost-Effective Recommender System for Taxi Drivers[一种经济高效的出租车司机推荐系统]
  Meng Qu(新泽西州立大学) The GPS technology and new forms of urban geography have changed the paradigm for mobile services. As such, the abundant availability of GPS traces ha...
热度:19

3
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams[加密互联网流量流中有效实时的应用内活动分析]
  Hui Xiong(新泽西州立大学) The mobile in-App service analysis, aiming at classifying mobile internet traffic into different types of service usages, has become a challenging and...
热度:15

4
Learning with Structured Sparsity[结构化稀疏学习]
  Junzhou Huang(新泽西州立大学) This paper investigates a new learning formulation called structured sparsity, which is a natural extension of the standard sparsity concept in statis...
热度:36

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22. Real Live Robot Learning[22.真实的机器人学习]
  Kaushik Subramanian; Michael Littman(新泽西州立大学) We created a reinforcement-learning demo -- a simple robot navigation task -- and took it to the public to teach them about AI and robotics. The video...
热度:17

6
Knowledge Discovery of Artistic Influences: A Metric Learning Approach[艺术影响的知识发现:一种度量学习方法]
   Ahmed Elgammal(新泽西州立大学) We approach the challenging problem of discovering influences between painters based on their fine-art paintings. In this work, we focus on comparing ...
热度:36

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Best of Three Worlds: Mutual Enhancement of Corpora of Dramatic Texts[三个世界的精华:戏剧文本语料库的相互增强]
  Frank Fischer(新泽西州立大学) Best of Three Worlds: Mutual Enhancement of Corpora of Dramatic Texts
热度:34

8
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization[时序数据的时间骨架化:模式、分类和可视化]
   Chuanren Liu(新泽西州立大学) Sequential pattern analysis targets on finding statistically relevant temporal structures where the values are delivered in a sequence. With the growi...
热度:51

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Learning with structured inputs[结构化输入学习]
  Tong Zhang(新泽西州立大学) I will present a novel approach to semi-supervised learning that employs a method which we refer to as structural learning (aka multi-task learning). ...
热度:49

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Welcome Statment Given by the Program Co-Chairs[赞同项目副主席给出的声明]
  Michael Littman(新泽西州立大学) Welcome Statment Given by the Program Co-Chairs.
热度:45
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