Composite large margin classifiers with latent subclasses for heterogeneous biomedical data-Reference-Cited by-同舟云学术

Composite large margin classifiers with latent subclasses for heterogeneous biomedical data

Published:2016-01-08 Issue:2 Volume:9 Page:75-88
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Chen Guanhua¹,Liu Yufeng²³⁴,Shen Dinggang⁵⁶,Kosorok Michael R.²⁴

Affiliation:

1. Department of Biostatistics; Vanderbilt University; Nashville TN 37203 USA

2. Department of Statistics and Operations Research; University of North Carolina; Chapel Hill NC 27599 USA

3. Department of Genetics; University of North Carolina; Chapel Hill NC 27599 USA

4. Department of Biostatistics; University of North Carolina; Chapel Hill NC 27599 USA

5. Department of Radiology and BRIC; University of North Carolina at Chapel Hill; Chapel Hill NC 27599 USA

6. Department of Brain and Cognitive Engineering; Korea University; Seoul 02841 Republic of Korea

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Reference36 articles.

3. Random forests;Breiman;Mach Learn,2001

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