Deep Rule-Based Classifier

This is the source code of the Deep Rule-Based Classifier
553 Downloads
Aktualisiert 5. Nov 2018

Lizenz anzeigen

The package contains:
1. DRB.m - The source code of the recently introduced Deep Rule-Based Classifier;
2. Deep Rule-Based Classifier.pdf - The instruction of the source code;
3. MNISTexample.mat - The example images and the extracted features.

References:
[1] X. Gu, P. Angelov, C. Zhang and P. M. Atkinson , “A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes,” IEEE Geoscience and Remote Sensing Letters, vol.15(3), pp. 345 - 349, 2018.
[2] P. Angelov and X. Gu, “Deep Rule-Based Classifier with Human-level Performance and Characteristics,” Information Sciences, vol.463-464, pp. 196-213., 2018.

For any queries about the codes, please contact Prof. Plamen P. Angelov (p.angelov@lancaster.ac.uk) and Dr. Xiaowei Gu (x.gu3@lancaster.ac.uk)

The semi-supervised learning extension of the Deep Rule-Based Classifier is available at: https://uk.mathworks.com/matlabcentral/fileexchange/67773-semi-supervised-deep-rule-based-classifier?s_tid=prof_contriblnk

Programmed by Xiaowei Gu

Zitieren als

X. Gu, P. Angelov, C. Zhang and P. M. Atkinson , “A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes,” IEEE Geoscience and Remote Sensing Letters, vol.15(3), pp. 345 - 349, 2018.

P. Angelov and X. Gu, “Deep Rule-Based Classifier with Human-level Performance and Characteristics,” Information Sciences, vol.463-464, pp. 196-213., 2018.

Kompatibilität der MATLAB-Version
Erstellt mit R2018a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Pattern Recognition and Classification finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

DRBclassifier

Version Veröffentlicht Versionshinweise
1.0.0.3

Updated References

1.0.0.2

Updated Description

1.0.0.1

Updated references

1.0.0.0