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This paper compares the performance of linear and nonlinear kernels of Support Vector Machines (SVM) used for text classification. The study is motivated by the previous viewpoint that linear SVM performs better than nonlinear one, and that, although there are many investigations have proved that SVM performs well in text classification, there is no serious investigation on the comparison between...
In this paper, we present SAWSDL-MX2, a hybrid semantic Web service matchmaker for SAWSDL services. Building on our initial work, we adopt logic-based as well as text similarity service selection for model references and add a structural approach, which operates on the pure syntactic description of WSDL elements. The integration of these matching variants is accomplished using a Support Vector Machine...
In order to arising the safety and reliability, and monitoring the working states of numerical control system, aiming at the multi-kinds of potential connection-related faults, the construction and the principle of the system were analyzed, and the systemic diagnosis framework was developed. Using the position signal and the torque monitoring one, the parameters of support vector machine were trained...
ClusterSVM exploiting the distributional properties of training data accelerates the training process with large-scale data set, and especially benefits two-class problem with a large number of boundary support vectors. The algorithm first partition the training data into disjoint clusters, then train an initial SVM using representatives of these clusters. This initial SVM gives us a global picture...
For the characteristics of malfunction diagnose system a model to classify fault printing based on reduced support vector machines (RSVM) is discussed. The printing malfunctions have many classes. There are massive datasets used in fraud detection. The support vector machines have been promising methods for classification because of their solid mathematical foundation. However they are not favored...
Aortic stiffness as measured by aortic pulse wave velocity (PWV) has been shown to be an independent predictor of cardiovascular disease (CVD), however, the measurement of PWV is time consuming. Recent studies have shown that pulse contour characteristics depend on arterial properties such as arterial stiffness. This paper presents a method for estimating PWV from the digital volume pulse (DVP), a...
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