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OL
2011
177views Neural Networks» more  OL 2011»
12 years 10 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 7 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
IJCNN
2006
IEEE
14 years 1 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer