LSevoBN: a structure learning algorithm for large Bayesian networks-Reference-Cited by-同舟云学术

LSevoBN: a structure learning algorithm for large Bayesian networks

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
language:
Short-container-title:

Author:

Kaminsky Yury¹^ORCID,Deeva Irina¹^ORCID

Affiliation:

1. ITMO University, St. Petersburg, Russia

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596346

Reference18 articles.

1. Bryon Aragam , Jiaying Gu , and Qing Zhou . 2017. Learning large-scale Bayesian networks with the sparsebn package. arXiv preprint arXiv:1703.04025 ( 2017 ). Bryon Aragam, Jiaying Gu, and Qing Zhou. 2017. Learning large-scale Bayesian networks with the sparsebn package. arXiv preprint arXiv:1703.04025 (2017).

2. Learning Large-Scale Bayesian Networks with the sparsebn Package

3. BAMT. 2021. Repository experiments and data. urlhttps://github.com/ITMO-NSS-team/BAMT.git. https://github.com/ITMO-NSS-team/BAMT.git BAMT. 2021. Repository experiments and data. urlhttps://github.com/ITMO-NSS-team/BAMT.git. https://github.com/ITMO-NSS-team/BAMT.git

4. Nelis J. de Vos. 2015--2021. kmodes categorical clustering library. https://github.com/nicodv/kmodes. Nelis J. de Vos. 2015--2021. kmodes categorical clustering library. https://github.com/nicodv/kmodes.

5. Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models

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