TY  - CONF
AU  - Firat Ismailoglu
AU  - Ida G. Sprinkhuizen-Kuyper
AU  - Evgueni Smirnov
AU  - Sergio Escalera
AU  - Ralf Peeters
A2  - MCS
PY  - 2015//
TI  - Fractional Programming Weighted Decoding for Error-Correcting Output Codes
BT  - Multiple Classifier Systems, Proceedings of 12th International Workshop , MCS 2015
SP  - 38
EP  - 50
PB  - Springer International Publishing
N2  - In order to increase the classification performance obtained using Error-Correcting Output Codes designs (ECOC), introducing weights in the decoding phase of the ECOC has attracted a lot of interest. In this work, we present a method for ECOC designs that focuses on increasing hypothesis margin on the data samples given a base classifier. While achieving this, we implicitly reward the base classifiers with high performance, whereas punish those with low performance. The resulting objective function is of the fractional programming type and we deal with this problem through the Dinkelbach’s Algorithm. The conducted tests over well known UCI datasets show that the presented method is superior to the unweighted decoding and that it outperforms the results of the state-of-the-art weighted decoding methods in most of the performed experiments.
SN  - 978-3-319-20247-1
UR  - www.springer.com/gp/book/9783319202471
UR  - http://dx.doi.org/10.1007/978-3-319-20248-8_4
N1  - HuPBA;MILAB
ID  - Firat Ismailoglu2015
ER  -