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Choquet integral, one of ensemble operators, is used widely in multiple classifiers combination when we consider the interaction between classifiers. The diversity of combination system can affect the classification accuracy and the generalization ability of the combination system. In this paper, two different types of classifiers, neural network and fuzzy decision tree, are introduced in combination...
It is well recognized that support vector machines (SVMs) would produce better classification performance in terms of generalization power. A SVM constructs an optimal separating hyper-plane through maximizing the margin between two classes in high-dimensional feature space. The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains...
Support vector machine (SVM) is novel type learning machine, based on statistical learning theory, which tasks involving classification, regression or novelty detection. This paper investigates an inverse problem of support vector machines (SVMs). The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains the maximum. Here the margin...
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