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» Level-set methods for convex optimization
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ICML
2007
IEEE
16 years 2 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ICML
2008
IEEE
16 years 2 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICC
2009
IEEE
169views Communications» more  ICC 2009»
15 years 8 months ago
Protocols and Resource Allocation for the Two-Way Relay Channel with Half-Duplex Terminals
—The two-way relay channel (TWRC) describes the communication between two terminals sharing a common relay. In this work we compare different protocols for the TWRC with a half-d...
Adrian Agustin, Josep Vidal, Olga Muñoz
ICNSC
2008
IEEE
15 years 8 months ago
Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
Fuwen Yang, Yongmin Li, Xiaohui Liu
WINE
2007
Springer
166views Economy» more  WINE 2007»
15 years 8 months ago
Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games
We present a computational approach to the saddle-point formulation for the Nash equilibria of two-person, zero-sum sequential games of imperfect information. The algorithm is a ï¬...
Andrew Gilpin, Samid Hoda, Javier Peña, Tuo...