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PPSN
2004
Springer
15 years 3 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
PPSN
2004
Springer
15 years 3 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli
JCP
2007
143views more  JCP 2007»
14 years 10 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
14 years 5 months ago
Optimal UAV coordination for target tracking using dynamic programming
This work focuses on optimal routing for two camera-equipped UAVs cooperatively tracking a single target moving on the ground. The UAVs are small fixed-wing aircraft cruising at a ...
Steven A. P. Quintero, Francesco Papi, Daniel J. K...
PROCEDIA
2010
148views more  PROCEDIA 2010»
14 years 4 months ago
SysCellC: a data-flow programming model on multi-GPU
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
Dominique Houzet, Sylvain Huet, Anis Rahman