319 search results - page 12 / 64 » Learning Equivalence Classes of Bayesian Network Structures |
IEEEICCI
2005
IEEE
15 years 3 months ago
2005
IEEE
The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal conte...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
108
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JMLR
2010
14 years 4 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...
83
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ICML
2009
IEEE
15 years 10 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 ...