76 search results - page 1 / 16 » A Bayesian approach to learning classifier systems in uncert... |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
ACIVS
2006
Springer
13 years 8 months ago
2006
Springer
The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
IJON
2006
13 years 4 months ago
2006
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...