Bayesian analysis of linear combiners

Authors:
Battista Biggio;Giorgio Fumera;Fabio Roli
Affiliations:
Dept. of Electrical and Electronic Eng., Univ. of Cagliari, Cagliari, Italy;Dept. of Electrical and Electronic Eng., Univ. of Cagliari, Cagliari, Italy;Dept. of Electrical and Electronic Eng., Univ. of Cagliari, Cagliari, Italy
Venue:
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Year:
2007

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Abstract

A new theoretical framework for the analysis of linear combiners is presented in this paper. This framework extends the scope of previous analytical models, and provides some new theoretical results which improve the understanding of linear combiners operation. In particular, we show that the analytical model developed in seminal works by Tumer and Ghosh is included in this framework.