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DEXA
2005
Springer
110views Database» more  DEXA 2005»
14 years 2 months ago
Intensional Encapsulations of Database Subsets via Genetic Programming
Finding intensional encapsulations of database subsets is the inverse of query evaluation. Whereas query evaluation transforms an intensional expression (the query) to its extensi...
Aybar C. Acar, Amihai Motro
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
14 years 2 months ago
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
In a series of papers [3-8], Daida et. al. highlighted the difficulties posed to Genetic Programming (GP) by the complexity of the structural search space, and attributed the probl...
Nguyen Xuan Hoai, Robert I. McKay
PPSN
2004
Springer
14 years 2 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
14 years 2 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»
13 years 9 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