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JMLR
2010
102views more  JMLR 2010»
13 years 4 months ago
Efficient Algorithms for Conditional Independence Inference
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindn...
ICPR
2002
IEEE
14 years 11 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
COMPSAC
2008
IEEE
14 years 4 months ago
Measuring Network Security Using Bayesian Network-Based Attack Graphs
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 ...
Marcel Frigault, Lingyu Wang
AAAI
1996
13 years 11 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
ISLPED
2004
ACM
153views Hardware» more  ISLPED 2004»
14 years 3 months ago
Any-time probabilistic switching model using bayesian networks
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
Shiva Shankar Ramani, Sanjukta Bhanja