On naive Bayesian fusion of dependent classifiers-Reference-Cited by-同舟云学术

On naive Bayesian fusion of dependent classifiers

Published:2005-11 Issue:15 Volume:26 Page:2463-2473
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Altınçay Hakan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference14 articles.

1. Information combination operators for data fusion: A comparative review with classification;Bloch;IEEE Trans. Systems Man Cybernet.,1996

2. A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection;Cremer;Inform. Fusion,2001

3. Plurality voting based multiple classifier systems: Statistically independent with respect to dependent classifier sets;Demirekler;Pattern Recogn.,2002

4. Domingos, P., Pazzani, M., 1996. Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In: Proceedings of the Thirteenth International Conference on Machine Learning, pp. 105–112.

5. On the optimality of the simple Bayesian classifier under zero-one loss;Domingos;Mach. Learning,1997

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Information fusion to automatically classify post-event building damage state;Engineering Structures;2022-02

2. A Flexible High-Level Fusion for an Accurate Human Action Recognition System;Journal of Circuits, Systems and Computers;2020-02-19

3. Data processing;Agricultural Internet of Things and Decision Support for Precision Smart Farming;2020

4. A Multiple Classifier Fusion Algorithm Using Weighted Decision Templates;Scientific Programming;2016

5. References;Combining Pattern Classifiers;2014-08-29