Al-Alaoui Pattern Recognition Algorithm: A MSE Asymptotic Bayesian Approach to Boosting
نویسنده
چکیده
The relation of the Al-Alaoui pattern recognition algorithm to the boosting and bagging approaches to pattern recognition is delineated. It is shown that the Al-Alaoui algorithm shares with bagging and boosting the concepts of replicating and weighting instances of the training set. Additionally it is shown that the Al-Alaoui algorithm provides a Mean Square Error, MSE, asymptotic Bayesian approximation to boosting. Experimental results demonstrate the viability of the Al-Alaoui algorithm for pattern classification. .
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