Sciweavers

1204 search results - page 30 / 241
» Hybrid Probabilistic Programs
Sort
View
PPSN
2004
Springer
14 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
ENTCS
2008
146views more  ENTCS 2008»
13 years 10 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
14 years 2 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
LCTRTS
2005
Springer
14 years 3 months ago
Probabilistic source-level optimisation of embedded programs
Efficient implementation of DSP applications is critical for many embedded systems. Optimising C compilers for embedded processors largely focus on code generation and instructio...
Björn Franke, Michael F. P. O'Boyle, John Tho...
UAI
2003
13 years 11 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...