Sum Versus Vote Fusion in Multiple Classifier Systems

Amidst the conflicting experimental evidence of superiority of one over the other, we investigate the Sum and majority Vote combining rules in a two class case, under the assumption of experts being of equal strength and estimation errors conditionally independent and identically distributed. We show, analytically, that, for Gaussian estimation error… CONTINUE READING

8 Figures & Tables

Topics

Statistics

02040'03'05'07'09'11'13'15'17
Citations per Year

329 Citations

Semantic Scholar estimates that this publication has 329 citations based on the available data.

See our FAQ for additional information.