170 search results - page 15 / 34 » Learning Functional Dependency Networks Based on Genetic Pro... |
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
IPPS
2003
IEEE
14 years 25 days ago
2003
IEEE
A number of software packages are available for the construction of comprehensive human genetic maps. In this paper we parallelize the widely used package Genehunter. We restrict ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...