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» On Bayesian model and variable selection using MCMC
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VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
16 years 2 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
15 years 3 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 8 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 9 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
15 years 3 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...