vibes

버전 1.1.9 (10.6 MB) 작성자: Fatih AYDIN

The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features

https://github.com/fatihaydin1/vibes

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다운로드 수: 340

업데이트 날짜: 2021/12/4

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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

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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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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전	게시됨	릴리스 정보
1.1.9	2021/12/4	See release notes for this release on GitHub: https://github.com/fatihaydin1/vibes/releases/tag/v1.1.9	다운로드
1.1.8	2021/12/4	GitHub Repository
1.1.7	2020/10/31	We corrected the former function name 'NewVIBES' as 'vibes'.	다운로드
1.1.6	2020/10/31	Correcting the former name 'NewVIBES' of the function as 'vibes'	다운로드
1.1.5	2020/1/5	A Bug related to the progress bar was fixed.	다운로드
1.1.4	2019/11/21	The descriptions have been updated for elucidating the algorithm.	다운로드
1.1.3	2019/5/8	The codes have been revised. The descriptions have been updated for elucidating the algorithm.	다운로드
1.1.2	2019/4/11	A bug in the function 'Ranking' is fixed.	다운로드
1.1.1	2018/12/23	Bugs were fixed for Pattern Recognition Neural Network classifier.	다운로드
1.1.0	2018/12/22	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.	다운로드
1.0.9	2018/12/8	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.	다운로드
1.0.8	2018/11/17	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.	다운로드
1.0.7	2018/11/16	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	다운로드
1.0.6	2018/11/16	The datasets used in the experiments has been attached as .arff (WEKA) and .mat (MATLAB) file formats.	다운로드
1.0.5	2018/11/16	The descriptions have been updated for elucidating the algorithm.	다운로드
1.0.4	2018/11/16	The descriptions have been updated for elucidating the algorithm.	다운로드
1.0.3	2018/11/16	The descriptions have been updated for elucidating the algorithm.	다운로드
1.0.2	2018/11/15	The descriptions have been updated for elucidating the algorithm. The entropy function has been re-written for measuring the amount of information of features.	다운로드
1.0.1	2018/11/15	The descriptions have been updated for elucidating the algorithm. The entropy function has been re-written for measuring the amount of information of features.	다운로드
1.0.0	2018/11/6		다운로드

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MLA	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.
APA	Aydın, F., & Aslan, Z. (2019). The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features. The Computer Journal, 63(11), 1756–1774. Oxford University Press (OUP). Retrieved from https://doi.org/10.1093%2Fcomjnl%2Fbxz118
BibTeX	@article{Ayd_n_2019, doi = {10.1093/comjnl/bxz118}, url = {https://doi.org/10.1093%2Fcomjnl%2Fbxz118}, year = 2019, month = {nov}, publisher = {Oxford University Press ({OUP})}, volume = {63}, number = {11}, pages = {1756--1774}, author = {Fatih Ayd{\i}n and Zafer Aslan}, title = {The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features}, journal = {The Computer Journal} }