1056 search results - page 132 / 212 » A Probabilistic Applied Pi-Calculus |
JMLR
2010
13 years 3 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
JMLR
2010
13 years 3 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
d Abstract) James Allen Fill1† 1 Department of Applied Mathematics and Statistics, The Johns Hopkins University, 34th and Charles Streets, Baltimore, MD 21218-2682 USA received 2...
RECOMB
2010
Springer
14 years 3 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
TGC
2007
Springer
14 years 3 months ago
2007
Springer
Secure information flow analysis aims to prevent programs from leaking their H (high) inputs to their L (low) outputs. A major challenge in this area is to relax the standard noni...