Widened Learning of Bayesian Network Classifiers

Sampson, Oliver R.; Berthold, Michael R.

Widened Learning of Bayesian Network Classifiers

Dateien

Sampson_0-370131.pdfGröße: 348.55 KBDownloads: 366

Datum

2016

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen 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_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.

Fachgebiet (DDC)

004 Informatik

Konferenz

15th International Symposium, IDA 2016, 13. Okt. 2016 - 15. Okt. 2016, Stockholm

Zitieren

ISO 690

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_19

BibTex

@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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