321 search results - page 8 / 65 » Learning Bayesian Networks with Local Structure |
83
Voted
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
78
Voted
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
87
Voted
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
123
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BIOCOMP
2006
14 years 11 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
91
Voted
UAI
1993
14 years 10 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...