78 search results - page 2 / 16 » Being Bayesian about Network Structure |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
IJCAI
2007
13 years 6 months ago
2007
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...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
UAI
1998
13 years 6 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
SEKE
2010
Springer
13 years 3 months ago
2010
Springer
Online auction systems have made remarkable progress in recent years. However, one of the most severe and persistent problems in such systems is shilling behavior, which is a type ...