Jian-Bing Huo

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To choose an appropriate kernel function is one major task for SVM. Different kernel functions will produce different SVMs and may result in different performances. Combined kernel function shows more stable and higher performance than single kernel function, so there is a need to optimize the combined kernel function to enhance the generalization(More)
The fault diagnosis of power transformer is important for safety of the device and reliability of the power system. This paper proposes the large margin learning classifier, which is well designed for multi-class problem based on the large margin learning of SVM hyper-planes theory. Each time it attempts to find the separating hyper-plane with maximum(More)
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