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AAAI
1997
13 years 10 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
ISDA
2009
IEEE
14 years 3 months ago
A Genetic Programming-Based Algorithm for Composing Web Services
—Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, seve...
Manuel Mucientes, Manuel Lama, Miguel I. Couto
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
14 years 2 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
COLING
1992
13 years 9 months ago
A Logic Programming View of Relational Morphology
he more abstract term "relational morphology" in place of tile usual "two-level morphology" in order to emphasize an aspect of Koskenniemi's work which ha...
Harvey Abramson
PRL
2002
213views more  PRL 2002»
13 years 8 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...