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» Geometric Duality in Multiple Objective Linear Programming
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KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 11 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
CN
2007
168views more  CN 2007»
13 years 7 months ago
A MAC layer power management scheme for efficient energy delay tradeoff in a WLAN
— Energy efficient operation is of paramount importance for battery-powered wireless nodes. In an effort to conserve energy, standard protocols for WLANs have the provision for w...
Mahasweta Sarkar, Rene L. Cruz
BMCBI
2011
13 years 2 months ago
Screening synteny blocks in pairwise genome comparisons through integer programming
Background: It is difficult to accurately interpret chromosomal correspondences such as true orthology and paralogy due to significant divergence of genomes from a common ancestor...
Haibao Tang, Eric Lyons, Brent S. Pedersen, James ...
WEA
2010
Springer
241views Algorithms» more  WEA 2010»
14 years 2 months ago
A Branch-and-Price Algorithm for Multi-mode Resource Leveling
Resource leveling is a variant of resource-constrained project scheduling in which a non-regular objective function, the resource availability cost, is to be minimized. We present ...
Eamonn T. Coughlan, Marco E. Lübbecke, Jens S...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 9 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye