An Optimization Algorithm for Combining Multiple Classifiers Based on Bayesian Approach
Pei Ya · Journal of Henan University of Science & Technology · 2010
This paper proposed an optimization algorithm for combining multiple classifiers based on Bayesian aproach and the method to improve the threshold.Firstly,these classifiers's confidence was computed.Secondly,these classifiers's confidence was used as pre-probability,and these pre-probability's vectors were combinated by adding these vectors.The final output vector was obtained.Lastly,the compositive classifier's recognizing precision was improved by threshold optimization.Experimental data showed that this arithmetic has simple,fast and high classification accuracy.