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AIPS
2008
14 years 1 months 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
MP
1998
73views more  MP 1998»
13 years 10 months ago
On proving existence of feasible points in equality constrained optimization problems
Various algorithms can compute approximate feasible points or approximate solutions to equality and bound constrained optimization problems. In exhaustive search algorithms for gl...
R. Baker Kearfott
EOR
2008
107views more  EOR 2008»
13 years 11 months ago
Fast heuristics for the Steiner tree problem with revenues, budget and hop constraints
This article describes and compares three heuristics for a variant of the Steiner tree problem with revenues, which includes budget and hop constraints. First, a greedy method whi...
Alysson M. Costa, Jean-François Cordeau, Gi...
ICASSP
2011
IEEE
13 years 2 months ago
Secure video processing: Problems and challenges
Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attent...
Wenjun Lu, Avinash L. Varna, Min Wu
ATAL
2010
Springer
14 years 1 days ago
Finding approximate competitive equilibria: efficient and fair course allocation
In the course allocation problem, a university administrator seeks to efficiently and fairly allocate schedules of over-demanded courses to students with heterogeneous preferences...
Abraham Othman, Tuomas Sandholm, Eric Budish