704 search results - page 1 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
IDA
2009
Springer
13 years 2 months ago
2009
Springer
CSDA
2007
13 years 4 months ago
2007
Previous research has shown that method two-way with error for multiple imputation in test and questionnaire data produces small bias in statistical analyses. This method is based...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
ICICS
2009
Springer
13 years 11 months ago
2009
Springer
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...