200 search results - page 2 / 40 » On the Consistency of Discrete Bayesian Learning |
ICMLA
2007
13 years 6 months ago
2007
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
ECML
1991
Springer
13 years 8 months ago
1991
Springer
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
NIPS
1997
13 years 6 months ago
1997
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
ICML
1999
IEEE
14 years 6 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...