By Topic

Sample size calculation from specified RMS of the resubstitution error for linear classifiers

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

3 Author(s)
Zollanvari, A. ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA ; Braga-Neto, U.M. ; Dougherty, E.R.

Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery. This paper applies analytical results derived previously by the authors concerning the exact sampling distribution of resubstitution for LDA under a Gaussianity assumption in order to investigate how the RMS for resubstitution behaves as a function of sample size. In particular, this allows one to make simple sample-size calculations based on a specified RMS.

Published in:

Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on

Date of Conference:

17-21 May 2009