<em>M</em>-ary Rank Classifier Combination: A Binary Linear Programming Problem
The goal of classifier combination can be briefly stated as combining the decisions of individual classifiers to obtain a better classifier. In this paper, we propose a method based on the combination of weak rank classifiers because rankings contain more information than unique choices for a many-c...
Main Authors: | Vincent Vigneron, Hichem Maaref |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/5/440 |
Similar Items
-
Investigating The Fusion of Classifiers Designed Under Different Bayes Errors
by: Fuad M. Alkoot, et al.
Published: (2004-12-01) -
Comparative Performance Evaluation of Pixel-Level and Decision-Level Data Fusion of Landsat 8 OLI, Landsat 7 ETM+ and Sentinel-2 MSI for Crop Ensemble Classification
by: Juliana Useya, et al.
Published: (2018-01-01) -
Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion
by: Junhai Zhai, et al.
Published: (2020-01-01) -
Editor’s Introduction: The Promise and Peril of Ranked Choice Voting
by: Caroline J. Tolbert, et al.
Published: (2021-06-01) -
Um modelo de fusão de rankings baseado em análise de preferência
by: Dutra Junior, Elmário Gomes
Published: (2009)