An Efficient Algorithm for Learning Bayesian Networks from Data

Norbert Dojer

doi:10.3233/fi-2010-318

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An Efficient Algorithm for Learning Bayesian Networks from Data

Norbert Dojer

Year: 2010 Journal: Fundamenta Informaticae Vol: 103 (1-4)Pages: 53-67 Publisher: IOS Press

DOI: 10.3233/fi-2010-318

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Abstract

We propose an algorithm for learning an optimal Bayesian network from data. Our method is addressed to biological applications, where usually datasets are small, and sets of random variables are large. Moreover, we assume that there is no need to exa

Keywords:

Bayesian network Computer science Bayesian probability Variable-order Bayesian network Machine learning Artificial intelligence Algorithm Wake-sleep algorithm Data mining Bayesian inference Artificial neural network Generalization error

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Metabolomics and Mass Spectrometry Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

An Efficient Algorithm for Learning Bayesian Networks from Data

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