270 search results - page 11 / 54 » Constraint relaxation in approximate linear programs |
AIPS
2004
13 years 8 months ago
2004
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
EMNLP
2010
13 years 5 months ago
2010
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
CPAIOR
2006
Springer
13 years 11 months ago
2006
Springer
We show that various duals that occur in optimization and constraint satisfaction can be classified as inference duals, relaxation duals, or both. We discuss linear programming, su...
NIPS
2007
13 years 8 months ago
2007
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...