vibes

Version 1.1.9 (10.6 MB) by Fatih AYDIN
The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features
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Updated 4 Dec 2021
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Fatih Aydın, Zafer Aslan, The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features, The Computer Journal, Volume 63, Issue 11, November 2020, Pages 1756–1774, https://doi.org/10.1093/comjnl/bxz118

Cite As

Aydın, Fatih, and Zafer Aslan. “The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features.” The Computer Journal, vol. 63, no. 11, Oxford University Press (OUP), Nov. 2019, pp. 1756–74, doi:10.1093/comjnl/bxz118.

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MATLAB Release Compatibility
Created with R2016b
Compatible with R2016b to R2021b
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.9

See release notes for this release on GitHub: https://github.com/fatihaydin1/vibes/releases/tag/v1.1.9
1.1.8

GitHub Repository
1.1.7

We corrected the former function name 'NewVIBES' as 'vibes'.
1.1.6

Correcting the former name 'NewVIBES' of the function as 'vibes'
1.1.5

A Bug related to the progress bar was fixed.
1.1.4

The descriptions have been updated for elucidating the algorithm.
1.1.3

The codes have been revised.
The descriptions have been updated for elucidating the algorithm.
1.1.2

A bug in the function 'Ranking' is fixed.
1.1.1

Bugs were fixed for Pattern Recognition Neural Network classifier.
1.1.0

Pattern Recognition Neural Network classifier was added to the base learners family.
A progress bar was added so as to visualize the training and test progression of the algorithm.
The codes and descriptions were updated all over again.
1.0.9

A method making the predictions for a test set was added.

The algorithm uses all of the data for training as well as the cross-validation method any more.

The codes and descriptions were updated all over again.
1.0.8

A method which searchs the most appropriate base learners using Genetic Algorithm has been added.

The codes have been arranged once again.

The descriptions have been updated for elucidating the algorithm.
1.0.7

The datasets used in the experiments has been shared at the link (https://yadi.sk/d/g0A2RRhoGTrA1g) as .arff (WEKA) and .mat (MATLAB) file formats
1.0.6

The datasets used in the experiments has been attached as .arff (WEKA) and .mat (MATLAB) file formats.
1.0.5

The descriptions have been updated for elucidating the algorithm.
1.0.4

The descriptions have been updated for elucidating the algorithm.
1.0.3

The descriptions have been updated for elucidating the algorithm.
1.0.2

The descriptions have been updated for elucidating the algorithm.

The entropy function has been re-written for measuring the amount of information of features.
1.0.1

The descriptions have been updated for elucidating the algorithm.

The entropy function has been re-written for measuring the amount of information of features.
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.