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» Approximation algorithms for co-clustering
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CIKM
2008
Springer
15 years 8 months ago
Efficient sampling of information in social networks
As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In...
Gautam Das, Nick Koudas, Manos Papagelis, Sushruth...
174
Voted
PSB
2004
15 years 8 months ago
Multiplexing Schemes for Generic SNP Genotyping Assays
Association studies in populations relate genomic variation among individuals with medical condition. Key to these studies is the development of efficient and affordable genotypin...
Roded Sharan, Amir Ben-Dor, Zohar Yakhini
206
Voted
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
15 years 8 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
200
Voted
CGF
2008
121views more  CGF 2008»
15 years 7 months ago
Tensor Clustering for Rendering Many-Light Animations
Rendering animations of scenes with deformable objects, camera motion, and complex illumination, including indirect lighting and arbitrary shading, is a long-standing challenge. P...
Milos Hasan, Edgar Velázquez-Armendá...
176
Voted
JACM
2006
99views more  JACM 2006»
15 years 6 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller