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AIPS
2008
14 years 3 days ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
FSS
2002
83views more  FSS 2002»
13 years 9 months ago
Flexible linear programs with a restricted overall flexibility level
It is usually supposed that tolerance levels are determined by the decision maker a priori in flexible linear programming (FLP) problems. In this paper we shall suppose that the d...
Robert Fullér, Margit Kovács, Gy&oum...
EMNLP
2010
13 years 7 months ago
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing
This paper introduces dual decomposition as a framework for deriving inference algorithms for NLP problems. The approach relies on standard dynamic-programming algorithms as oracl...
Alexander M. Rush, David Sontag, Michael Collins, ...
NETCOOP
2007
Springer
14 years 3 months ago
Minimum Transmission Energy Trajectories for a Linear Pursuit Problem
In this paper we study a pursuit problem in the context of a wireless sensor network, where the pursuer (i.e., mobile sink) trying to capture a pursuee (i.e., tracked object), movi...
Attila Vidács, Jorma T. Virtamo
FOCS
1991
IEEE
14 years 1 months ago
Dynamic Three-Dimensional Linear Programming
We perform linear programming optimizations on the intersection of k polyhedra in R3 , represented by their outer recursive decompositions, in expected time O(k log k log n + √ ...
David Eppstein