Error Correcting Output Codes Library 0.1

Sergio Escalera, Oriol Pujol, Petia Radeva — Fri, 05 Mar 2010 16:49:12 -0000

In this work 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, Beta-density, attenuated, loss-based, probabilistic kernel-based, and loss-weighted) with the parameters defined by the authors, as well as the option to include your own coding, decoding, and base classifier.

mloss.org Error Correcting Output Codes Library

Error Correcting Output Codes Library 0.1