94 search results - page 6 / 19 » Functional Bregman Divergence and Bayesian Estimation of Dis... |
JMLR
2010
13 years 2 months ago
2010
We study losses for binary classification and class probability estimation and extend the understanding of them from margin losses to general composite losses which are the compos...
DMIN
2006
13 years 9 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
CSDA
2010
13 years 7 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
IH
2009
Springer
14 years 2 months ago
2009
Springer
This paper is concerned with the estimation of steganographic capacity in digital images, using information theoretic bounds and very large-scale experiments to approximate the dis...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...