94 search results - page 3 / 19 » Functional Bregman Divergence and Bayesian Estimation of Dis... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
A lower bound on the minimum mean-squared error (MSE) in a Bayesian estimation problem is proposed in this paper. This bound utilizes a well-known connection to the deterministic e...
PE
2010
Springer
13 years 3 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...