Cart (Loading....) | Create Account
Close category search window
 

Error Correcting Output Codes Using Genetic Algorithm-Based Decoding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hatami, N. ; Dept. of Electr. Eng., Shahed Univ., Tehran ; Seyedtabaii, S.

Error correcting output codes (ECOC) is one of the most valuable methods in building multiple classifier systems. This method decomposes a multiclass problem into a number of simpler binary sub-problems called dichotomies. The simplest methods of reconstruction of ECOC ensemble are Hamming and Margin decoding. Thay ignore the difference of dichotomies that lead to different base classifiers. In this paper, we give a new and general technique for combining classifiers that does not suffer from this defect. We use weights for adjusting the distance of base classifier outputs from the labels of existing classes. Optimal weights are determined by a proposed Genetic algorithm-based method which is the popular one of evolutionary Algorithms. Experimental results on two benchmark datasets and two different algorithms as the base classifiers show the robustness of the proposed decoding method with respect to the previously introduced decoding methods.

Published in:

Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on  (Volume:1 )

Date of Conference:

2-4 Sept. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.