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ICPR
2008
IEEE
14 years 4 hour ago
A least square kernel machine with box constraints
In this paper, we present a least square kernel machine with box constraints (LSKMBC). The existing least square machines assume Gaussian hyperpriors and subsequently express the ...
Jayanta Basak
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 17 days ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill
COLT
2006
Springer
13 years 9 months ago
Aggregation and Sparsity Via l1 Penalized Least Squares
Florentina Bunea, Alexandre B. Tsybakov, Marten H....
ICANN
2007
Springer
13 years 11 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi