Data, Knowledge & Life

Weiwei Cheng's blog

Archive for 十二月 2009

Merry Christmas!

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Let's play in the snow! by Miss Chien.

A wonderful Christmas and my best wishes
to all of you!

Written by Weiwei

24/12/2009 at 17:37

发表在 杂话

New Board of International Machine Learning Society

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Written by Weiwei

14/12/2009 at 22:48

发表在 学术


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Written by Weiwei

11/12/2009 at 17:45

发表在 转贴


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  终于把KDML 2009的视频字幕做好了。感谢托马斯(这里写中文——否则让他看到自己的名字出现在一堆天书之中,少不了我一大堆口舌)帮我录制了这个视频。毕竟还是家用摄像机,画面和音质都无法和Videolectures.net上的视频相提并论。鉴于此,添加字幕还是很必要的。



Written by Weiwei

10/12/2009 at 02:50

发表在 学术


with 2 comments

This is an email message sent to all KEBI members. It might be also of interest to the readers here, so I decide to post it as well.

Hi all,

the arXiv ( currently hosted by Cornell University) is a world famous archive for electronic preprints of scientific papers covering almost all fields of nature science, such as mathematics, physics, statistics, quantitative biology, and of course, computer science. The idea behind the arXiv is in line with the trend of “open science” (aka: open research): all the articles on the arXiv can be accessed via internet for free. In many fields of mathematics and physics, almost all scientific papers are placed on the arXiv (according to Wikipedia). As of 3 October 2008, passed the half-million article milestone, with roughly five thousand new e-prints added every month.

The arXiv is not peer-reviewed. The authors take most responsibility. A majority of the e-prints are also submitted to journals or other venues for publication. But some work, including some very influential papers, remain purely as e-prints and are never published in a peer-reviewed journal. An example, a well-know story, is an outline of a proof of Thurston’s geometrization conjecture, including the Poincaré conjecture as a particular case, uploaded by Grigori Perelman in November 2002. Perelman refused to publish his result in a traditional peer-reviewed journal. (This guy also declined to accept the Fields Medal!)

More about arXiv on Wiki:

Sub-fields that you could be interested in:
Machine Learning:

Artificial Intelligence:
Computer Vision and Pattern Recognition:


Written by Weiwei

01/12/2009 at 18:42

发表在 学术