Publikation: Widened Learning of Bayesian Network Classifiers
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BOSTRÖM, Henrik, ed. and others. Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016; Proceedings. Cham: Springer, 2016, pp. 215-225. Lecture Notes in Computer Science. 9897. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-46348-3. Available under: doi: 10.1007/978-3-319-46349-0_19
Zusammenfassung
We demonstrate the application of Widening to learning performant Bayesian Networks for use as classifiers. Widening is a framework for utilizing parallel resources and diversity to find models in a hypothesis space that are potentially better than those of a standard greedy algorithm. This work demonstrates that widened learning of Bayesian Networks, using the Frobenius Norm of the networks’ graph Laplacian matrices as a distance measure, can create Bayesian networks that are better classifiers than those generated by popular Bayesian Network algorithms.
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15th International Symposium, IDA 2016, 13. Okt. 2016 - 15. Okt. 2016, Stockholm
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SAMPSON, Oliver R., Michael R. BERTHOLD, 2016. Widened Learning of Bayesian Network Classifiers. 15th International Symposium, IDA 2016. Stockholm, 13. Okt. 2016 - 15. Okt. 2016. In: BOSTRÖM, Henrik, ed. and others. Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016; Proceedings. Cham: Springer, 2016, pp. 215-225. Lecture Notes in Computer Science. 9897. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-46348-3. Available under: doi: 10.1007/978-3-319-46349-0_19BibTex
@inproceedings{Sampson2016-09-21Widen-37277,
year={2016},
doi={10.1007/978-3-319-46349-0_19},
title={Widened Learning of Bayesian Network Classifiers},
number={9897},
isbn={978-3-319-46348-3},
issn={0302-9743},
publisher={Springer},
address={Cham},
series={Lecture Notes in Computer Science},
booktitle={Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016; Proceedings},
pages={215--225},
editor={Boström, Henrik},
author={Sampson, Oliver R. and Berthold, Michael R.}
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