Limits on the majority vote accuracy in classifier fusion
From MaRDI portal
Publication:1400846
DOI10.1007/s10044-002-0173-7zbMath1035.68101OpenAlexW2141434237WikidataQ108748329 ScholiaQ108748329MaRDI QIDQ1400846
C. A. Shipp, Christopher J. Whitaker, Robert P. W. Duin, Ludmilla I. Kuncheva
Publication date: 14 August 2003
Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10044-002-0173-7
DiversityClassifier combinationClassifier fusionIndependence and dependenceLimits on majorityMajority vote
Related Items (15)
The relative performance of ensemble methods with deep convolutional neural networks for image classification ⋮ Clustering-based ensembles for one-class classification ⋮ A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSM ⋮ High-dimensional Canonical Forest ⋮ Fast and accurate 3D face recognition using registration to an intrinsic coordinate system and fusion of multiple region classifiers ⋮ Majority vote ensembles of conformal predictors ⋮ Biometric scores fusion based on total error rate minimization ⋮ An investigation of the effects of correlation and autocorrelation on classifier fusion and optimal classifier ensembles ⋮ Prediction of protein submitochondria locations based on data fusion of various features of sequences ⋮ Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas ⋮ Information theoretic combination of pattern classifiers ⋮ On the fusion of threshold classifiers for categorization and dimensionality reduction ⋮ Tradeoff relation between mutual information and error probability in data classification problem ⋮ Classification by ensembles from random partitions of high-dimensional data ⋮ Majority Voting by Independent Classifiers Can Increase Error Rates
This page was built for publication: Limits on the majority vote accuracy in classifier fusion
