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Transcatheter aortic valve replacement (TAVR) has become a more utilized procedure to perform on patients deemed too frail to handle the demands of a standard open heart approach. How to determine frailty in cardiac patients, particularly TAVR candidates, has been difficult to objectively quantify. The purpose of this research was to statistically measure which outcome tool most accurately depicted...
To investigate remote sensing classification approach based on support vector machines (SVMs), we classify a remotely sensed image of urban area of Kunming, China, by SVM-based classifiers with radial basis function (RBF) as kernel function. The best values of parameter gamma (gamma) of RBF and penalty parameter C are chosen carefully through training phase. Then, data are classified by the SVM-based...
Combined by several binary-class SVMs, present multi-class SVMs are usually inefficient in training process. When there is large number of categories of data to classify, training it would be very difficult. Expanded from hyper-sphere one-class SVM (HS-SVM), hyper-sphere multi-class SIM (HSMC-SVM), which builds a HS-SVM for every category of data, is a direct classifier. Its training speed is faster...
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