A new principle for performing polychotomous classification with pairwise classifiers is introduced: if pairwise classifier Nij, trained to discriminate between classes i and j, responds "i" for an input x from an unknown class (not necessarily i or j), one can at best conclude that x ∉ j. Thus, the output of pairwise classifier Nij can be interpreted as a vote against the losing class j, and not, as existing methods propose, as a vote for the winning class i. Both a discrete and a continuous classification model derived from this principle are introduced. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Cutzu, F. (2003). How to do multi-way classification with two-way classifiers. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2714, 375–382. https://doi.org/10.1007/3-540-44989-2_45
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