417 search results - page 26 / 84 » Bayesian inference in estimation of distribution algorithms |
131
Voted
CSDA
2011
14 years 10 months ago
2011
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum lik...
147
Voted
SIGIR
2003
ACM
15 years 8 months ago
2003
ACM
We propose a Bayesian extension to the ad-hoc Language Model. Many smoothed estimators used for the multinomial query model in ad-hoc Language Models (including Laplace and Bayes-...
138
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
115
Voted
CACM
2011
14 years 10 months ago
2011
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
129
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: Mass spectrometry (MS) is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually...