842 search results - page 85 / 169 » Distributions of Maximum Likelihood Estimators and Model Com... |
116
click to vote
JCB
2007
14 years 11 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
118
click to vote
EJASP
2010
14 years 6 months ago
2010
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
115
click to vote
ICA
2010
Springer
15 years 29 days ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
ICPR
2000
IEEE
16 years 29 days ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
UAI
1997
15 years 1 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...