January 2, 2003

A comparison of two approaches for combining the votes of cooperating classifiers

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Resumen

Two different approaches are described to combine the results of different classifiers. The first approach is based on the Dempster/Shafer theory of evidence and the second one is a statistical approach with some assumptions on the input data. Both approaches were tested for user-dependent recognition of on-line handwritten characters.>

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Franke et al. (Thu,) studied this question.

synapsesocial.com/papers/6a1112226da19daf8316a339 https://doi.org/https://doi.org/10.1109/icpr.1992.201786

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Combining the Classification Results of Independent Classifiers Based on the Dempster/Shafer Theory of Evidence1988 · 104 citations
2Upper and Lower Probabilities Induced by a Multivalued Mapping1967 · 5,976 citations
3Upper and Lower Probabilities Induced by a Multivalued Mapping2008 · 5,335 citations
4A Mathematical Theory of Evidence1976 · 8,869 citations
5ADVANCED PREPROCESSING TECHNIQUE FOR ON-LINE RECOGNITION OF HANDPRINTED SYMBOLS1989 · 5 citations

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