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COLT
2005
Springer
14 years 1 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
COLT
2005
Springer
14 years 1 months ago
Ranking and Scoring Using Empirical Risk Minimization
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
Stéphan Clémençon, Gáb...
IPCO
2010
174views Optimization» more  IPCO 2010»
13 years 9 months ago
On Lifting Integer Variables in Minimal Inequalities
This paper contributes to the theory of cutting planes for mixed integer linear programs (MILPs). Minimal valid inequalities are well understood for a relaxation of an MILP in tab...
Amitabh Basu, Manoel B. Campêlo, Michele Con...
ASPDAC
2008
ACM
74views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Large-scale fixed-outline floorplanning design using convex optimization techniques
A two-stage optimization methodology is proposed to solve the fixed-outline floorplanning problem that is a global optimization problem for wirelength minimization. In the first st...
Chaomin Luo, Miguel F. Anjos, Anthony Vannelli
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 2 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...