Error-Correcting Ouput Codes Library

11 years 1 days ago
Error-Correcting Ouput Codes Library
In this paper, we present an open source Error-Correcting Output Codes (ECOC) library. The ECOC framework is a powerful tool to deal with multi-class categorization problems. This library contains both state-of-the-art coding (one-versus-one, one-versus-all, dense random, sparse random, DECOC, forest-ECOC, and ECOC-ONE) and decoding designs (hamming, euclidean, inverse hamming, laplacian, -density, attenuated, loss-based, probabilistic kernel-based, and lossweighted) with the parameters defined by the authors, as well as the option to include your own coding, decoding, and base classifier.
Sergio Escalera, Oriol Pujol, Petia Radeva
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JMLR
Authors Sergio Escalera, Oriol Pujol, Petia Radeva
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