Soft combination of neural classifiers: A comparative study
- 1 April 1999
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 20 (4) , 429-444
- https://doi.org/10.1016/s0167-8655(99)00012-4
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- INTRODUCTION OF NEIGHBORHOOD INFORMATION IN EVIDENCE THEORY AND APPLICATION TO DATA FUSION OF RADAR AND OPTICAL IMAGES WITH PARTIAL CLOUD COVERPattern Recognition, 1998
- On combining classifiersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Asymptotic statistical theory of overtraining and cross-validationIEEE Transactions on Neural Networks, 1997
- Averaging Regularized EstimatorsNeural Computation, 1997
- Combination of multiple classifiers using local accuracy estimatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- The representation of importance and interaction of features by fuzzy measuresPattern Recognition Letters, 1996
- A k-nearest neighbor classification rule based on Dempster-Shafer theoryIEEE Transactions on Systems, Man, and Cybernetics, 1995
- Decision combination in multiple classifier systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Combining the results of several neural network classifiersNeural Networks, 1994
- Democracy in neural nets: Voting schemes for classificationNeural Networks, 1994