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Microsoft Academic Search

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  Microsoft Academic Search 微软学术搜索(Beta)是这两天我最经常把玩的网站。和Google Scholar比较起来,MAS的界面非常独到,更注重搜索排名的表现。虽然从它显示的文章引用数量上来看,MAS搜索结果的覆盖性尚不及Google Scholar,但它的用户体验的确是一流的。

  根据MAS的数据,机器学习与模式识别(Machine Learning & Pattern Recognition)领域的十大国际会议是:

  •   ICML – International Conference on Machine Learning
  •   UAI – Uncertainty in Artificial Intelligence
  •   NIPS – Neural Information Processing Systems
  •   COLT – Computational Learning Theory
  •   EuroCOLT – European Conference on Computational Learning Theory
  •   ECML – European Conference on Machine Learning
  •   ICPR – International Conference on Pattern Recognition
  •   ICDAR – International Conference on Document Analysis and Recognition
  •   ICA – Independent Component Analysis
  •   ICVGIP – Indian Conference on Computer Vision, Graphics & Image Processing

  此学科的十大期刊是:

  •   ML  – Machine Learning
  •   NECO – Neural Computation
  •   IEEE Transactions on Neural Networks
  •   JMLR – Journal of Machine Learning Research
  •   JASSS – The Journal of Artificial Societies and Social Simulation
  •   PR – Pattern Recognition
  •   Finance and Stochastics
  •   Information Research
  •   PRL – Pattern Recognition Letters
  •   Internet Mathematics

  机器学习的同行们,这个排名里是不是也有你最喜爱的会议和期刊?看完这个排名,估计已经有朋友开始皱眉头。我在Twitter上的好友就有跟我说,NIPS怎么可能这么靠后?还有那个那个啥,怎么不在名单里?其实这没有什么太奇怪的。我猜测MAS的这个列表完全是依照文章发表数以及文章引用数加权算出来的,有些偏差在情理之中。

  MAS还提供了界面非常友善的学者搜索与排名。比如在机器学习与模式识别领域排在第一的就是传说中的Vadimir Vapnik。

  MAS为部分知名学者提供了相对完善的数据索引,包括最近比较流行的G-IndexH-Index。传奇的Vapnik有着H-Index值37。鉴于MAS一共只索引了他119篇文章/书籍,这个数字已经是不可想象之高了。高山抑止,膜拜中…… (It is a moment that you are NOT supposed to ask about mine.)

  总之,作为一款beta产品,Microsoft Academic Search已经颇为优秀。大家不妨尝试一下。

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Written by Weiwei

12/04/2010 在 22:51

发表在 学术

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  1. 又有新的版本了了,再去看看吧

    Xin

    01/10/2011 at 09:17


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