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NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
GG
2008
Springer
13 years 10 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell
MOBICOM
2010
ACM
13 years 9 months ago
CSMA/CN: carrier sense multiple access with collision notification
A wireless transmitter learns of a packet loss, infers collision, only after completing the entire transmission. If the transmitter could detect the collision early (such as with ...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...
4OR
2010
137views more  4OR 2010»
13 years 9 months ago
Extended formulations in combinatorial optimization
This survey is concerned with the size of perfect formulations for combinatorial optimization problems. By "perfect formulation", we mean a system of linear inequalities...
Michele Conforti, Gérard Cornuéjols,...
BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...