465 search results - page 55 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
ICANN
2005
Springer
14 years 2 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...
NIPS
2007
13 years 10 months ago
2007
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
UIC
2007
Springer
14 years 2 months ago
2007
Springer
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...