AdaBoost is one of the most popular algorithms to construct a strong classifier with linear combination of member classifiers. The member classifiers are selected to minimize the errors in each iteration step during training process. AdaBoost provides ...
This paper presents a random boosting ensemble (RBE) classifier for remote sensing image classification, which introduces the random projection feature selection and bootstrap methods to obtain base classifiers for classifier ensemble. The RBE method is ...
The primary concern of the rating policies for a banking industry is to develop a more objective, accurate and competitive scoring model to avoid losses from potential bad debt. This study proposes an artificial immune classifier based on the artificial ...
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