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ICASSP
2011
IEEE
12 years 11 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
CCGRID
2009
IEEE
14 years 2 months ago
Modeling Job Lifespan Delays in Volunteer Computing Projects
Volunteer Computing (VC) projects harness the power of computers owned by volunteers across the Internet to perform hundreds of thousands of independent jobs. In VC projects, the ...
Trilce Estrada, Michela Taufer, Kevin Reed
EDO
2000
Springer
13 years 11 months ago
Distributed Proxy: A Design Pattern for the Incremental Development of Distributed Applications
Developing a distributed application is hard due to the complexity inherent to distributed communication. Moreover, distributed object communication technology is always changing,...
António Rito Silva, Francisco Assis Rosa, T...
ICIP
2002
IEEE
14 years 9 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
BMCBI
2010
101views more  BMCBI 2010»
13 years 8 months ago
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
Background: Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variat...
Zhengdong D. Zhang, Mark B. Gerstein