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» Constraint relaxation in approximate linear programs
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ICML
2009
IEEE
14 years 5 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein
ENDM
2010
115views more  ENDM 2010»
13 years 2 months ago
On the knapsack closure of 0-1 Integer Linear Programs
Many inequalities for Mixed-Integer Linear Programs (MILPs) or pure Integer Linear Programs (ILPs) are derived from the Gomory corner relaxation, where all the nonbinding constrai...
Matteo Fischetti, Andrea Lodi
DISOPT
2008
85views more  DISOPT 2008»
13 years 5 months ago
How tight is the corner relaxation?
Given a mixed-integer linear programming (MILP) model and an optimal basis of the associated linear programming relaxation, the Gomory's corner relaxation is obtained by drop...
Matteo Fischetti, Michele Monaci
ICIP
2003
IEEE
14 years 6 months ago
Linear approximations for rate control in video coding
An efficient method for rate control is illustrated for joint source-channel rate selection and for encoding under multiple leaky bucket buffer constraints. This method shows adva...
Yegnaswamy Sermadevi, Sheila S. Hemami
JMLR
2006
125views more  JMLR 2006»
13 years 4 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss