The specific steps are as follows: First, several strong classifiers are generated by applying Adaboost. Second, the BPA of the singleton proposition is determined by weighted voting of the weak classifiers. Third, the proposed area ratio method is used to determine the BPA of the composite proposition.
The method uses training data to generate multiple strong classifiers for each attribute model, which is used to determine the BPA of the ...
Jun 25, 2021 · This paper proposes a novel method for obtaining BPA based on Adaboost. The method uses training data to generate multiple strong classifiers ...
A Novel Method to Determine Basic Probability Assignment Based on ...
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A novel method for obtaining BPA based on Adaboost is proposed that uses training data to generate multiple strong classifiers for each attribute model, ...
This paper proposes a novel method for obtaining BPA based on Adaboost. The method uses training data to generate multiple strong classifiers for each attribute ...
First, the basic probability assignment generation model is constructed based on clustering idea using K-means method, which is employed to determine basic ...
Missing: Adaboost | Show results with:Adaboost
A Novel Method to Determine Basic Probability Assignment Based on Adaboost and Its Application in Classification. Article. Full-text available. Jun 2021 ...
In this paper, an improved method to construct the BPA is proposed based on the confusion matrix. The proposed method takes into account both the precision ...
Jul 13, 2024 · An improved method is proposed to model incomplete information, where the generalized basic probability assignment (GBPA) is generated using the ...
Mar 13, 2018 · You need to use a method like cross-validation to find the optimal number of rounds instead. For a more formal treatment of why AdaBoost ...