IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers * Apologies if you received multiple copies of this CFP * Beijing China August 17-20, 2014Home Page: www.asonam2014.org F…

IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers Beijing China August 17-20, 2014Home Page: www.asonam2014.org Full paper/short paper/extended abstract submission deadlin…

IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers * Apologies if you received multiple copies of this CFP * Beijing China August 17-20, 2014Home Page: www.asonam2014.org F…

转自<知乎>如何写好一篇高质量的IEEE/ACM Transaction级别的计算机科学论文? 问题: 作为一个博士生,一直为写论文头疼,读过很多高质量论文,觉得写的真好,但是轮到自己写总是力不从心. 最讨厌的是活生生的把一个A级别的idea写成C质量的论文….. 在这里的高质量限于IEEE/ACM Transaction级别,或者同等级别的Conference, 例如SIGKDD,CVPR,STOC,CCS之类 看过很多如何写论文的文章或者视频, 但都面向的是如何写论文, 而不是如何写Tra…

Conferences ACM SEACM Southeast Regional Conference ACM Southeast Regional Conference the oldest, continuously running, annual conference of the ACM. ACMSE provides an excellent forum for both faculty and students to present their research in a frien…

Hakkani-Tür博士当选2014年 IEEE院士" title="微软研究院张永光博士与Dilek Hakkani-Tür博士当选2014年 IEEE院士"> 编者按:电气电子工程师学会(IEEE)是全球最大的非营利性专业技术学会,拥有超过40万的会员,遍布160多个国家,在世界范围内拥有极大影响力.IEEE院士的评选已经有101年的历史,在世界范围内广受关注,许多相关领域的科研人员把获得IEEE院士称号视为无上的荣誉.在IEEE近期一系列通知及任命中,微软研究院…

不知道谁整理的,我就下了个word.所以就标注不了,引用的哪的了. Rank 1: SIGCOMM: ACM Conf on Comm Architectures, Protocols & Apps INFOCOM: Annual Joint Conf IEEE Comp & Comm Soc SPAA: Symp on Parallel Algms and Architecture PODC: ACM Symp on Principles of Distributed Computing…

IEEE 754-1985 was an industry standard for representing floating-point numbers in computers, officially adopted in 1985 and superseded in 2008 by IEEE 754-2008. During its 23 years, it was the most widely used format for floating-point computation. I…

International Conference on Machine Learning (ICML2014, Beijing).(papers are available) Neural Information Processing System (NIPS2014, Quebce).(papers are available) AAAI Conference on Artifical Interlligence (AAAI2014, Quebce).(papers are available…

昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…