43 search results - page 2 / 9 » Asymptotic Bayesian generalization error when training and t... |
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
IUI
2004
ACM
13 years 10 months ago
2004
ACM
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
UAI
2008
13 years 6 months ago
2008
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
BMCBI
2006
13 years 5 months ago
2006
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...