A Fast Multi-Network K-Dependence Bayesian Classifier for Continuous Features-Reference-Cited by-同舟云学术

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A Fast Multi-Network K-Dependence Bayesian Classifier for Continuous Features

Published:2024-06 Issue: Volume:150 Page:110299
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Khodayari-Samghabadi Imaneh,Mohammad-Khanli Leyli^ORCID,Tanha Jafar^ORCID

Funder

University of Tabriz

Publisher

Elsevier BV

Reference37 articles.

1. Hierarchical Independence Thresholding for learning Bayesian network classifiers;Liu;Knowl.-Based Syst.,2021

2. A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier;Wang;Intell. Data Anal.,2021

3. Kernel mixture model for probability density estimation in Bayesian classifiers;Zhang;Data Min. Knowl. Discov.,2018

4. Efficient heuristics for learning Bayesian network from labeled and unlabeled data;Duan;Intell. Data Anal.,2020

5. Stochastic optimization for Bayesian network classifiers;Ren;Appl. Intell.,2022

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