Nov 12, 2015 · In this paper, we report an experimental comparison between two widely used combination methods, i.e. sum and product rules, ...
In this paper, we report an experimental comparison between two widely used combination methods, i.e. sum and product rules, in order to determine the ...
Bibliographic details on Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers.
In this paper, a simulation method is proposed to generate a set of classifier outputs with specified individual accuracies and fixed pairwise agreement.
In this approach, a classifier ensemble is constructed by training the base classifier using different datasets. Several methods for constructing diverse.
Abstract. In classification applications, the goal of fusion techniques is to exploit complementary approaches and merge the.
The ensemble method is a technique where multiple classifiers are used to solve the same problem and then combined their results to obtain improved results.
Levels 2 and 3 are used in [] to analyze the diversity in classifiers ensembles that use the majority vote as combination function for the classifier outputs ...
In this paper, we propose a method for the prediction of the EC customer's purchase behavior by combining multiple classifiers based on genetic algorithm. The ...
Apr 25, 2021 · In the last case, the outputs of the selected classifiers must be combined for the classification of patterns. Dynamic Classifier Selection (DCS).
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