Sciweavers

727 search results - page 33 / 146
» On Bayesian model and variable selection using MCMC
Sort
View
VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
15 years 10 months ago
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
Sanjukta Bhanja, N. Ranganathan
IJCAI
2007
14 years 11 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
VAMOS
2007
Springer
15 years 3 months ago
Using Goal-Models to Analyze Variability
On our ongoing research on variability analysis, two major drawbacks have been identified: a) the lack of an effective tracing from the rationale to the selected variant, and b) t...
Bruno González-Baixauli, Miguel A. Laguna, ...
CAISE
2010
Springer
14 years 4 months ago
Configuring the Variability of Business Process Models Using Non-Functional Requirements
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The inc...
Emanuel Santos, João Pimentel, Jaelson Cast...
ESANN
2008
14 years 11 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...