开课单位--亚马逊公司
12>>> 1/2

1
Amazon Web Services[亚马逊网络服务]
  Mike Culver(亚马逊公司) Amazon has spent over a decade and $2 billion building the infrastructure, technical knowledge, and operational excellence to operate a world class we...
热度:50

2
The Conversational User Interface[会话式用户界面]
  Ronald M. Kaplan(亚马逊公司) Work on both the graphical user interface (GUI) and the conversational user interface (CUI) started at about the same time, about 40 years ago. The GU...
热度:84

3
Distributed, Real-Time Bayesian Learning in Online Service[在线服务中的分布式实时贝叶斯学习]
   Ralf Herbrich(亚马逊公司) The last ten years have seen a tremendous growth in Internet-based online services such as search, advertising, gaming and social networking. Today, i...
热度:41

4
Fast Food: Approximating Kernel Expansion in Loglinear Time[快餐:对数线性时间的近似核膨胀]
   Alex Smola(亚马逊公司) The ability to evaluate nonlinear function classes rapidly is crucial for nonparametric estimation. We propose an improvement to random kitchen sinks ...
热度:51

5
Large-Scale Mining of Medical Text- a Hybrid Statistical/Semantic Approach[医学文本的大规模挖掘--一种混合统计/语义方法]
  Tom Diethe(亚马逊公司) The British Medical Journal Group (BMJ Group) has a wide and varied content set, including a suite of medical journals, online learning materials, bes...
热度:57

6
Opening Keynote and Keynote Interview with Jeff Bezos[开幕主题演讲和主题采访杰夫·贝佐斯]
  Jeffrey Bezos(亚马逊公司) One of the web’s master entrepreneurs has devised a novel way to expand his domain. Jeff Bezos explains how Amazon, already home to 59 million a...
热度:58

7
Earth's Most Customer Centric Company: Differentiating with Technology[地球上最以客户为中心的公司:鉴别技术]
  Jeffrey Bezos, Robert Frederick(亚马逊公司) In this lively presentation Jeff Bezos, Founder and CEO of Amazon.com discusses many of the technological advances that have enabled Amazon.com to be ...
热度:101

8
Exact inference and learning for cumulative[精确推理和累积学习]
  Huang Jim C(亚马逊公司) Probabilistic graphical models use local factors to represent dependence among sets of variables. For many problem domains, for instance climatology a...
热度:36

9
Exponential Families in Feature Space[特征空间中的指数族]
  Smola Alexander J(亚马逊公司) In this course I will discuss how exponential families, a standard tool in statistics, can be used with great success in machine learning to unify man...
热度:32

10
Learning Graph Matching[学习图形匹配]
  Smola Alexander J(亚马逊公司) As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching...
热度:50
12>>> 1/2