200 search results - page 8 / 40 » On the Consistency of Discrete Bayesian Learning |
AAAI
2008
13 years 10 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
ALDT
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
IBPRIA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...