开课单位--芝加哥大学
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11
The dark universe: dark matter and dark energy[暗宇宙:暗物质和暗能量]
  Edward W. Kolb(芝加哥大学) According to the standard cosmological model, 95% of the present mass density of the universe is dark: roughly 70% of the total in the form of dark en...
热度:32

12
Learning Deformable Models[学习变形模型]
  Yali Amit(芝加哥大学) It is widely recognized that the fundamental building block in high level computer vision is the deformable template, which represents realizations of...
热度:64

13
Statistical Classification and Cluster Processes[统计分类和集群过程]
  Peter McCullagh(芝加哥大学) After an introduction to the notion of an exchangeable random partition, we continue with a more detailed discussion of the Ewens process and some of ...
热度:61

14
My Turing Machine or Yours?[我的图灵机还是你的?]
  John Goldsmith(芝加哥大学) The title of this talk is “Your Turing Machine or Mine?”. What I am alluding to with this title is the universality of a universal Turing...
热度:71

15
The Computational Nature of Language Learning[语言学习的计算性]
  Partha Niyogi(芝加哥大学) Language learning research becomes more robust when it incorporates insights from evolutionary theory, Partha Niyogi demonstrates. The principles of n...
热度:30

16
Interactive Data Mining and Its Business Applications[交互式数据挖掘及其业务应用 ]
  Rayid Ghani(芝加哥大学 ) A lot of practical data mining applications deal with settings where the goal is to help human experts find rare cases that are of interest to them. F...
热度:48
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