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PAMI
2008
161views more  PAMI 2008»
14 years 9 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
CCGRID
2006
IEEE
15 years 3 months ago
gSET: Trust Management and Secure Accounting for Business in the Grid
We developed gSET as solution for the unsolved problems in the field of dynamic trust management and secure accounting in commercial virtual organizations. gSET establishes trust...
Thomas Weishäupl, Christoph Witzany, Erich Sc...
CF
2005
ACM
14 years 11 months ago
Exploiting processor groups to extend scalability of the GA shared memory programming model
Exploiting processor groups is becoming increasingly important for programming next-generation high-end systems composed of tens or hundreds of thousands of processors. This paper...
Jarek Nieplocha, Manojkumar Krishnan, Bruce Palmer...
BMCBI
2007
133views more  BMCBI 2007»
14 years 9 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
ANOR
2010
139views more  ANOR 2010»
14 years 7 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan