@article {10.3844/jcssp.2006.565.571,
article_type = {journal},
title = {Design of Output Codes for Fast Covering Learning using Basic Decomposition Techniques},
author = {Tiwari, Aruna and Chaudhari, Narendra S.},
volume = {2},
number = {7},
year = {2006},
month = {Jul},
pages = {565-571},
doi = {10.3844/jcssp.2006.565.571},
url = {https://thescipub.com/abstract/jcssp.2006.565.571},
abstract = {We propose the design of output codes for solving the classification problem in Fast Covering Learning Algorithm (FCLA).  For a complex multi-class problem normally the classifiers are constructed by combining the outputs of  several binary ones.  In this paper, we use the basic methods of decomposition; one per class (OPC) and Error Correcting Output Code (ECOC) with FCLA, binary to binary mapping algorithm as a base binary learner.  The methods have been tested on Fisher’s well-known Iris data set and experimental results show that the classification ability is improved by using ECOC method.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}