417 search results - page 9 / 84 » Bayesian inference in estimation of distribution algorithms |
AAAI
2010
13 years 9 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
CSDA
2007
13 years 7 months ago
2007
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
JCP
2006
13 years 7 months ago
2006
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...