Simultaneous inference of population proportions and its applications in machine learning

Xinjia Chen

doi:10.1117/12.2015056

29 May 2013 Simultaneous inference of population proportions and its applications in machine learning

Xinjia Chen

Proceedings Volume 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI; 875015 (2013) https://doi.org/10.1117/12.2015056
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

In this paper, we develop an exact computational approach for simultaneous inference of population proportions. The main idea of this computational approach is to use branch and bound technique for rigorous checking of coverage probabilities and the probabilities of making wrong decisions. Applications of the proposed method can be found in machine learning and other areas.

Citation Download Citation

Xinjia Chen "Simultaneous inference of population proportions and its applications in machine learning", Proc. SPIE 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, 875015 (29 May 2013); https://doi.org/10.1117/12.2015056

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available