several techniques to study the various factors of debris flow. The ADABOOST and rough set theory (RST) are two emerging … methods with regard to classification and rule provision. The ADABOOST, an adaptive boosting machine learning algorithm, uses … unique strengths of the ADABOOST and RST in classification and rule generation and applies the proposed ADARST to analyze …

in the case of Latin American and US companies. In the first part of this dissertation, we use Adaboost to analyze the …

the final model is difficult to interpret. Some boosting methods, including AdaBoost, are also very sensitive to outliers … set error rates of GA-Ensemble, AdaBoost, and GentleBoost (an outlier-resistant version of AdaBoost) using several … resistant to outliers and results in simpler predictive models than AdaBoost and GentleBoost. Copyright Springer-Verlag Berlin …

. Kernel logistic regression, support vector machines, least squares and the AdaBoost loss function are treated as special …

. Kernel logistic regression, support vector machines, least squares and the AdaBoost loss function are treated as special …

. Kernel logistic regression, support vector machines, least squares and the AdaBoost loss function are treated as special …

learning technique called the AdaBoost algorithm. The performance of this strategy for non-myopic investors, who can endure …

this paper is twofold. On the one hand, we apply the Adaboost.M1 algorithm to improve the accuracy of a classification tree …