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AAAI
2006
15 years 7 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
TIT
2010
160views Education» more  TIT 2010»
15 years 1 months ago
Bounds on the rate of 2-D bit-stuffing encoders
A method for bounding the rate of bit-stuffing encoders for 2-D constraints is presented. Instead of considering the original encoder, we consider a related one which is quasistati...
Ido Tal, Ron M. Roth
SIAMJO
2011
15 years 1 months ago
A Unifying Polyhedral Approximation Framework for Convex Optimization
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
Dimitri P. Bertsekas, Huizhen Yu
STOC
2009
ACM
98views Algorithms» more  STOC 2009»
16 years 7 months ago
Sherali-adams relaxations of the matching polytope
We study the Sherali-Adams lift-and-project hierarchy of linear programming relaxations of the matching polytope. Our main result is an asymptotically tight expression 1 + 1/k for...
Claire Mathieu, Alistair Sinclair
SAC
2009
ACM
16 years 1 months ago
The sum-of-increments constraint in the consecutive-ones matrix decomposition problem
The combinatorial problem of decomposing an integer matrix into a small positive linear combination of binary matrices that have the consecutive-ones property arises in cancer rad...
Sebastian Brand