Sciweavers

1261 search results - page 63 / 253
» Improved learning of Bayesian networks
Sort
View
ICTAI
2008
IEEE
14 years 2 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
ACCV
2006
Springer
13 years 9 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 6 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
EUROPAR
2004
Springer
14 years 1 months ago
Scheduling Under Conditions of Uncertainty: A Bayesian Approach
The efficient execution of irregular parallel applications on shared distributed systems requires novel approaches to scheduling, since both the application requirements and the sy...
Luís Paulo Santos, Alberto José Proe...
UAI
2000
13 years 9 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman