An improved noninvasive method to detect Diabetes Mellitus using the Probabilistic Collaborative Representation based Classifier-Reference-Cited by-同舟云学术

An improved noninvasive method to detect Diabetes Mellitus using the Probabilistic Collaborative Representation based Classifier

Published:2018-10 Issue: Volume:467 Page:477-488
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shu Ting,Zhang Bob,Tang Yuan Yan

Funder

FDCT

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Learning a sparse representation for object detection;Agarwal,2002

2. Improving support vector machine classifiers by modifying kernel functions;Amari;Neural Netw.,1999

3. Aggregate features and adaboost for music classification;Bergstra;Mach. Learn.,2006

4. Basic theories of traditional Chinese medicine;Bing,2010

5. Diagnostics of traditional Chinese medicine;Bing,2010

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