Fusion of Label Outputs
Ludmila Ilieva Kuncheva · 2004
Chapter 4 discusses the fusion of label outputs. Four types of classifier outputs are listed: class labels (abstract level), ranked class labels (rank level), degree of support for the classes (measurement level) and correct/incorrect decision (oracle level). Combination methods for class label outputs are presented including majority vote, plurality vote, weighted majority vote, naive Bayes, multinomial combiners (Behavior Knowledge Space (BKS) and Werneckes methods), probabilistic combination and singular value decomposition (SVD) combination.