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JMLR
2010
126views more  JMLR 2010»
12 years 11 months ago
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
Mladen Kolar, Eric P. Xing
ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 4 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
CEC
2009
IEEE
13 years 11 months ago
Task decomposition and evolvability in intrinsic evolvable hardware
— Many researchers have encountered the problem that the evolution of electronic circuits becomes exponentially more difficult when problems with an increasing number of outputs...
Tüze Kuyucu, Martin Trefzer, Julian Francis M...