AdaBoost and neural networks
نویسندگان
چکیده
AdaBoost, a recent v ersion of Boosting is known to improve the performance of decision trees in many classiication problems, but in some cases it does not do as well as expected. There are also a few reports of its application to more complex classiiers such as neural networks. In this paper we decompose and modify this algorithm for use with RBF NNs, our methodology being based on the technique of combining multiple clas-siiers.
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