Artificial Intelligence Laboratory / 8D / IBM / / /
Facility
Pipeline Processing / University of Minnesota / /
IndustryTerm
sequential anomaly detection algorithm / linear chain / machine learning algorithms / convex optimization algorithms / neural networks / data mining / web access / enterprise social networks / inference algorithms / technology / vector algorithm / /
OperatingSystem
UNIX / /
Organization
National Science Foundation / MIT / Yale / AO LOF / United States Navy / University of Minnesota / /
Person
John Shawe-Taylor / Kate Saenko / Eric K. Patterson / Xiaojin Zhu / Fernando C. N. Pereira / John N. Gowdy / Yung Lin / David Demirdjian / John D. Lafferty / Jinbo Xu / Swee Chuan Tan / Kevin Murphy / Michael I. Jordan / Choon Hui Teo / John Langford / Chung Chang / Ariadna Quattoni / David Lubensky / Christopher Potter / Sabri Gurbuz / Markus M. Breunig / Alireza Ghasemi / Steven A. Klooster / Lawrence R. Rabiner / Trevor Darrell / Lynn Wu / Pei Sun / Raymond T. Ng / Karen Livescu / Emanuel Parzen / Edward Y. Chang / Randall Davis / Haibo He / Haibin Cheng / Chun-Nam John Yu / Zekeriya Tufekci / Jen Lin / Bavani Arunasalam / Quoc V. Le / Naoki Abe / Louis-Philippe Morency / Edwardo A. Garcia / Hanghang Tong / Liefeng Bo / Thorsten Joachims / John C. Platt / Bernhard Sch¨olkopf / Sanjay Chawla / Bianca Zadrozny / Zhen Wen / Vicky Griffiths-Fisher / Andrew Y. Ng / Pang-Ning Tan / Fei Tony Liu / Alex J. Smola / Robert C. Williamson / Hans-Peter Kriegel / V. N. Vishwanathan / Mohammad Taghi Manzuri / Jian Peng / Andrew McCallum / Yale Song / Do / Xin Xu / Yan Liu / Mohammad Hossein Rohban / Kai Ming Ting / Robert P. W. Duin / David M. Blei / Hamid R. Rabiee / Thierry Artieres / Lei Shi / /
Position
manager / speaker / Markov reward process model for intrusion detection / employee change manager / /
Product
F1 / /
ProvinceOrState
Minnesota / /
PublishedMedium
Machine Learning / Journal of Machine Learning Research / /
To appear, International Joint Conference on Artificial Intelligence (IJCAIOne-Class Conditional Random Fields for Sequential Anomaly Detection Yale Song1 , Zhen Wen2 , Ching-Yung Lin2 , Randall Davis1 MIT Compu