Building ensemble classifiers using belief functions and OWA operators

Author:

Reformat Marek,Yager Ronald R.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference47 articles.

1. Ahmadzadeh MR, Petrou M (2003) Use of Dempster–Shafer theory to combine classifiers which use different class boundaries. Pattern Anal Appl 6:41–46

2. Al-Ani A, Deriche M (2002) A new technique for combining multiple classifiers using the Dempster–Shafer theory of evidence. J Artif Intell Res 17:333–361

3. Ali K (1995) A comparison of methods for learning and combining evidence from multiple models. Technical Report 95–47, Dept. of Information and Computer Science, University of California, Irvine

4. Ali K, Pazzani M (1996) Error reduction through learning multiple descriptions. Mach Learn 24:173–202

5. Altincay H (2005) A Dempster–Shafer theoretic framework for boosting based ensemble design. Pattern Anal Appl 8:287–302

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