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- W2169035449 abstract "The common operation mechanism of multiple classifier systems is the combination of classifier outputs. Some researchers have pointed out the potentialities of classifier as an alternative operation mechanism. However, such potentialities have been motivated so far by experimental results and qualitative arguments. This paper provides a theoretical framework for dynamic classifier selection. To this end, dynamic classifier selection is placed in the general framework of statistical decision theory and it is showed that, under some assumptions, the optimal Bayes classifier can be obtained by the selection of non-optimal classifiers." @default.
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- W2169035449 date "2002-11-11" @default.
- W2169035449 modified "2023-09-27" @default.
- W2169035449 title "A theoretical framework for dynamic classifier selection" @default.
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- W2169035449 doi "https://doi.org/10.1109/icpr.2000.906007" @default.
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