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ICCBR
2005
Springer
15 years 8 months ago
Using CBR to Select Solution Strategies in Constraint Programming
Constraint programming is a powerful paradigm that offers many different strategies for solving problems. Choosing a good strategy is difficult; choosing a poor strategy wastes r...
Cormac Gebruers, Brahim Hnich, Derek G. Bridge, Eu...
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 3 months ago
Convex Relaxations for Subset Selection
We use convex relaxation techniques to produce lower bounds on the optimal value of subset selection problems and generate good approximate solutions. We then explicitly bound the...
Francis Bach, Selin Damla Ahipasaoglu, Alexandre d...
AAAI
2012
13 years 5 months ago
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection
In this paper, a new convex matching pursuit scheme is proposed for tackling large-scale sparse coding and subset selection problems. In contrast with current matching pursuit alg...
Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang
EOR
2006
97views more  EOR 2006»
15 years 2 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
JMLR
2010
182views more  JMLR 2010»
14 years 9 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...