Publikation: Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors
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DUIVESTEIJN, Wouter, ed., Arno SIEBES, ed., Antti UKKONEN, ed.. Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, proceedings. Cham: Springer, 2018, pp. 264-277. Lecture Notes in Computer Science. 11191. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-030-01767-5. Available under: doi: 10.1007/978-3-030-01768-2_22
Zusammenfassung
Widening is a method where parallel resources are used to find better solutions from algorithms instead of merely trying to find the same solutions more quickly. To date, every example of Widening has used some from of communiucation between the parallel workers to maintain their distances from one another in the model space. For the first time, we present a communication-free, widened extension to a standard machine learning algorithm. By using Locality Sensitive Hashing on the Bayesian networks' Fiedler vectors, we demonstrate the ability to learn classifiers superior to those standard implementations and to those generated with a greedy heuristic alone
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17th International Symposium, IDA 2018, 24. Okt. 2018 - 26. Okt. 2018, ’s-Hertogenbosch, The Netherlands
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SAMPSON, Oliver R., Christian BORGELT, Michael R. BERTHOLD, 2018. Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. 17th International Symposium, IDA 2018. ’s-Hertogenbosch, The Netherlands, 24. Okt. 2018 - 26. Okt. 2018. In: DUIVESTEIJN, Wouter, ed., Arno SIEBES, ed., Antti UKKONEN, ed.. Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, proceedings. Cham: Springer, 2018, pp. 264-277. Lecture Notes in Computer Science. 11191. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-030-01767-5. Available under: doi: 10.1007/978-3-030-01768-2_22BibTex
@inproceedings{Sampson2018-10-05Commu-44696,
year={2018},
doi={10.1007/978-3-030-01768-2_22},
title={Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors},
number={11191},
isbn={978-3-030-01767-5},
issn={0302-9743},
publisher={Springer},
address={Cham},
series={Lecture Notes in Computer Science},
booktitle={Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, proceedings},
pages={264--277},
editor={Duivesteijn, Wouter and Siebes, Arno and Ukkonen, Antti},
author={Sampson, Oliver R. and Borgelt, Christian and Berthold, Michael R.}
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