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AIPS
2008
15 years 9 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
WSC
2008
15 years 9 months ago
Allocating outpatient clinic services using simulation and linear programming
A large number of operational tools exist to help researchers determine business solutions for their customers. Each individual tool serves a distinct purpose for specific types o...
Martin J. Miller, David M. Ferrin, Niloo Shahi, Ri...
WSC
2008
15 years 9 months ago
Mathematical programming representations for state-dependent queues
Discrete-event dynamic systems with feedback, where the behavior of the system depends on the system state, are difficult to model due to the uncertainties and dependencies of sys...
Wai Kin Chan, Lee W. Schruben
COLING
1992
15 years 7 months ago
Dynamic Programming Method for Analyzing Conjunctive Structures in Japanese
Parsing a long sentence is very difficult, since long sentences often have conjunctions which result in ambiguities. If the conjunctive structures existing in a long sentence can ...
Sadao Kurohashi, Makoto Nagao
IJISTA
2007
119views more  IJISTA 2007»
15 years 6 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...