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Comparison of lazy Bayesian rule, and tree-augmented Bayesian learning

2002 IEEE International Conference on Data Mining, 2002. Proceedings., 2003
The naive Bayes classifier is widely used in interactive applications due to its computational efficiency, direct theoretical base, and competitive accuracy. However its attribute independence assumption can result in sub-optimal accuracy. A number of techniques have explored simple relaxations of the attribute independence assumption in order to ...
Zhihai Wang, Geoffrey I. Webb
openaire +1 more source

Recursive Probability Trees for Bayesian Networks

2010
This paper proposes a new data structure for representing potentials. Recursive probability trees are a generalization of probability trees. Both structures are able to represent context-specific independencies, but the new one is also able to hold a potential in a factorized way.
Andrés Cano +3 more
openaire +2 more sources

Building a bayesian factor tree from examples

2010 2nd International Workshop on Cognitive Information Processing, 2010
A criterion based on mutual information among variables is proposed for building a bayesian tree from a finite number of examples. The factor graph, in Forney-style form, can be used as an associative memory that performs probabilistic inference in data fusion applications. The procedure is explained with the aid of a fully-described example.
PALMIERI, Francesco +3 more
openaire +4 more sources

Covariance Controlled Bayesian Rose Trees

2022
Damian Peszor, Eryka Probierz
openaire +2 more sources

Use of fuzzy fault tree analysis and Bayesian network for occurrence likelihood estimation of navigational accidents in the Qinzhou Port

Ocean Engineering, 2022
Tsz Leung Yip, Congcong Zhao
exaly

Application of Bayesian calculation to determine logic-tree weights for ground motion prediction equations: Seismological case studies in Taiwan

Engineering Geology, 2021
J P Wang
exaly

Bayesian classification and regression trees