Ensemble of Classifiers Based on Simultaneous Using of Error Correcting Output Codes and Other Algorithms

Ensemble of classifiers is one of the famous methods to increase accuracy of Classifiers. Bagging, boosting and Error Correcting Output Codes (ECOC) are some of common methods to ensemble of classifiers. In this paper a new method for ensemble of Classifiers based on double combination is proposed and accuracy of this method in compare with other existing methods is evaluated for different datasets. Numerical results indicated that this method increases classifying accuracy in many cases comparing with other existing methods.