49 search results - page 3 / 10 » Learning Bayesian network classifiers by maximizing conditio... |
UAI
1998
13 years 6 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
JMLR
2010
12 years 11 months ago
2010
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
ECML
2004
Springer
13 years 8 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
NIPS
2003
13 years 6 months ago
2003
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...