Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms

Author:

Ozcift Akin,Gulten Arif

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference30 articles.

1. Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples;Ming;IEEE Trans. Syst. Man Cybern. A: Syst. Hum.,2007

2. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

3. Cost-conscious classifier ensembles;Demir;Pattern Recogn. Lett.,2005

4. A two-step approach for feature selection and classifier ensemble construction in computer-aided diagnosis;Lee,2008

5. Correlation-based feature selection strategy in neural classification;Michalak,2006

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