115 search results - page 3 / 23 » On Axiomatizing Probabilistic Conditional Independencies in ... |
RSKT
2010
Springer
13 years 5 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
IJAR
2010
13 years 5 months ago
2010
The logical and algorithmic properties of stable conditional independence (CI) as an alternative structural representation of conditional independence information are investigated...
COMPSAC
2008
IEEE
14 years 1 months ago
2008
IEEE
Given the increasing dependence of our societies on information systems, the overall security of these systems should be measured and improved. Existing work generally focuses on ...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...