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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 11 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
CORR
2010
Springer
120views Education» more  CORR 2010»
14 years 10 months ago
How Much Multiuser Diversity is Required for Energy Limited Multiuser Systems?
Multiuser diversity (MUDiv) is one of the central concepts in multiuser (MU) systems. In particular, MUDiv allows for scheduling among users in order to eliminate the negative effe...
Youngwook Ko, Sergiy A. Vorobyov, Masoud Ardakani
EC
2008
120views ECommerce» more  EC 2008»
14 years 10 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang
BMCBI
2007
107views more  BMCBI 2007»
14 years 9 months ago
Linking microarray reporters with protein functions
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
Stan Gaj, Arie van Erk, Rachel I. M. van Haaften, ...
SADM
2008
178views more  SADM 2008»
14 years 9 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon