图 书 馆开课单位--斯坦福大学
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131Linear Algebra and Machine Learning of Large Informatics Graphs[大型信息图的线性代数与机器学习]
Michael Mahoney(斯坦福大学) Very large informatics graphs such as large social and information networks typically have properties that render many popular machine learning and da...
热度：56
Michael Mahoney(斯坦福大学) Very large informatics graphs such as large social and information networks typically have properties that render many popular machine learning and da...
热度：56
132Diffusion and Cascading Behaviour in Networks[网络中的扩散和级联行为]
Jure Leskovec(斯坦福大学) Diffusion is a process by which information, viruses, ideas and new behavior spread over the network. For example, adoption of a new technology begins...
热度：188
Jure Leskovec(斯坦福大学) Diffusion is a process by which information, viruses, ideas and new behavior spread over the network. For example, adoption of a new technology begins...
热度：188
133Lecture 4: Nullspace Of A Matrix(Continued)[讲座4：矩阵的零空间（续）]
Stephen P. Boyd(斯坦福大学) Okay, the next is that we have gotten more than just a handful of sort of requests or suggestions to do something like a linear algebra or matrix revi...
热度：76
Stephen P. Boyd(斯坦福大学) Okay, the next is that we have gotten more than just a handful of sort of requests or suggestions to do something like a linear algebra or matrix revi...
热度：76
134STAIR: The STanford Artificial Intelligence Robot Project[stair：斯坦福人工智能机器人项目]
Andrew Ng,(斯坦福大学) This talk will describe the STAIR home assistant robot project, and the satellite projects that led to key STAIR components such as (1) robotic graspi...
热度：84
Andrew Ng,(斯坦福大学) This talk will describe the STAIR home assistant robot project, and the satellite projects that led to key STAIR components such as (1) robotic graspi...
热度：84
135Cost-effective Outbreak Detection in Networks [网络中经济有效的暴发检测]
Jure Leskovec(斯坦福大学) Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing impo...
热度：77
Jure Leskovec(斯坦福大学) Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing impo...
热度：77
136Geometric Tools for Graph Mining of Large Social and Information Networks[对于大的社会和信息网络图挖掘几何工具]
Michael Mahoney(斯坦福大学) The tutorial will cover recent algorithmic and statistical work on identifying and exploiting "geometric" structure in large informatics gra...
热度：87
Michael Mahoney(斯坦福大学) The tutorial will cover recent algorithmic and statistical work on identifying and exploiting "geometric" structure in large informatics gra...
热度：87
137Machine Learning of Language from Distributional Evidence[分布式证据语言的机器学习]
Chris Manning(斯坦福大学) Christopher Manning thinks linguistics went astray in the 20th century when it searched “for homogeneity in language, under the misguided assump...
热度：118
Chris Manning(斯坦福大学) Christopher Manning thinks linguistics went astray in the 20th century when it searched “for homogeneity in language, under the misguided assump...
热度：118
138Uncertainties in Climate Forecasts: Causes, Magnitudes and Policy Implications[在气候预测中的不确定性：原因，幅度和政策的影响]
Stephen Schneider(斯坦福大学) As one of the lead researchers in the ongoing Intergovernmental Panel on Climate Change (IPCC), which informs the UN Framework Convention on Climate C...
热度：69
Stephen Schneider(斯坦福大学) As one of the lead researchers in the ongoing Intergovernmental Panel on Climate Change (IPCC), which informs the UN Framework Convention on Climate C...
热度：69
139140Regret-based Online Ranking for a Growing Digital Library[一个不断发展的数字图书馆的后悔在线排名]
Erick Delage(斯坦福大学) The most common environment in which ranking is used takes a very specific form. Users sequentially generate queries in a digital library. For each qu...
热度：55
Erick Delage(斯坦福大学) The most common environment in which ranking is used takes a very specific form. Users sequentially generate queries in a digital library. For each qu...
热度：55