TY  - JOUR
AU  - Tiwari, Aruna 
AU  - Chaudhari, Narendra S. 
PY  - 2006
TI  - Design of Output Codes for Fast Covering Learning using Basic Decomposition Techniques
JF  - Journal of Computer Science
VL  - 2
IS  - 7
DO  - 10.3844/jcssp.2006.565.571
UR  - https://thescipub.com/abstract/jcssp.2006.565.571
AB  - 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.