926 search results - page 20 / 186 » Outliers and Bayesian Inference |
JCB
2006
15 years 13 days ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
AAAI
1997
15 years 1 months ago
1997
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
95
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RECOMB
2008
Springer
16 years 23 days ago
2008
Springer
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
EMMCVPR
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
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BMCBI
2010
14 years 7 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...