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A new method for detecting and classifying loudspeaker faults is presented in this paper. Total response of high-order harmonics groups is measured and used as defect features of loudspeaker. Based on support vector machine (SVM), we built a classification system combined with one-class SVM and Directed Acyclic Graphic SVM (DAGSVM). Comparing with K-nearest neighbor (k-NN) classifier, the accuracy...
Protein classification plays an important role in the research in Bioinformatics. Many discriminative methods, including the SVM based algorithms are used to do this job. In order to use these methods, variable length protein sequences must be converted into fixed-length dimensional vectors. The current work presents a new method of converting sequences into vectors. The method first constructs profile...
A sample and class incremental learning algorithm based on hyper-sphere support vector machine is proposed. For every class, hyper-sphere support vector machine is used to get the smallest hyper-sphere that contains most samples of the class, which can divide the class samples from others. In the process of incremental learning, the hyper-sphere of every new class are trained, and the history hyper-spherees...
To overcome the shortages of the existing customer classification method such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a method combined of F-scores and support vector machine for customer classification was proposed, and was applied to the problem of bank credit card customer classification. Empirical analysis shows the validation accuracies...
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