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Abstract: Error Correcting Output Coding (ECOC) methods for multiclass classification present several open problems ranging from the trade-off between their error recovering capabilities and the learnability of the induced dichotomies to the selection of proper base learners and to the design of well-separated codes for a given multiclass problem. We experimentally analyze some of the main factors affecting the effectiveness of ECOC methods. We show that the architecture of ECOC learning machines... (Update)
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BibTeX entry: (Update)
@misc{ masulli-effectiveness,
author = "Francesco Masulli and Giorgio Alentini",
title = "Effectiveness of Error Correcting Output Coding Methods in Ensemble . .
.",
url = "citeseer.ist.psu.edu/599527.html" }
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