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PyBNesian: an extensible python package for Bayesian networks
Citation
Atienza González, David, Bielza Lozoya, María Concepción 
ORCID: https://orcid.org/0000-0001-7109-2668 and Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0002-1885-4501
(2022).
PyBNesian: an extensible python package for Bayesian networks.
"Neurocomputing", v. 504
;
pp. 204-209.
ISSN 1872-8286.
https://doi.org/10.1016/j.neucom.2022.06.112.
Description
| Title: | PyBNesian: an extensible python package for Bayesian networks |
|---|---|
| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | Neurocomputing |
| Date: | July 2022 |
| ISSN: | 1872-8286 |
| Volume: | 504 |
| Subjects: | |
| Freetext Keywords: | Bayesian networks, Kernel density estimation, Dynamic models, Conditional independence |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Bayesian networks are probabilistic graphical models that are commonly used to represent the uncertainty in data. The PyBNesian package provides an implementation for many different types of Bayesian network models and some variants, such as conditional Bayesian networks and dynamic Bayesian networks. In addition, the package can be easily extended with new components that can interoperate with those already implemented. Furthermore, the package also implements other related models such as kernel density estimation using OpenCL 1.2+ to enable GPU acceleration. PyBNesian is totally free and open-source under the MIT license.
Funding Projects
Type
Code
Acronym
Leader
Title
Government of Spain
FPU16/00921
Unspecified
Unspecified
Unspecified
Government of Spain
PID2019- 109247 GB-I00
Unspecified
Unspecified
Unspecified
More information
| Item ID: | 72424 |
|---|---|
| DC Identifier: | https://oa.upm.es/72424/ |
| OAI Identifier: | oai:oa.upm.es:72424 |
| DOI: | 10.1016/j.neucom.2022.06.112 |
| Official URL: | https://www.sciencedirect.com/science/article/pii/... |
| Deposited by: | Biblioteca Facultad de Informatica |
| Deposited on: | 17 Feb 2023 09:06 |
| Last Modified: | 17 Feb 2023 09:06 |
