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Statistical Learning Theory focuses on the machine learning theory for small samples. Support vector machine (SVM) are new methods based on statistical learning theory. There are many kinds of function can be used for kernel of SVM. Wavelet function is a set of bases that can approximate arbitrary functions in arbitrary precision. So Marr wavelet was used to construct wavelet kernel. On the other...
Support vector machine (SVM) is a new method based on statistical learning theory. Online algorithms for training SVM are efficient to run, easy to implement comparing with batch algorithms. Presently online algorithms usually do not provide with the ability to explicitly control the number of support vectors. A modified online algorithm for SVM is proposed, witch has a budget parameter to explicitly...
Support vector machine (SVM) is a new modeling method. It has shown good performance in many field and mostly outperformed neural networks. An online modeling method based on SVM is proposed. It has a budget parameter to explicitly control the number of support vectors that used to define the predictor. The online modeling method was applied to construct intelligent model of helicopter. It is shown...
Support vector machine is a new method developed recently. It has shown good performance in many field and mostly outperformed neural networks. So SVM is introduced to the field of intelligent modeling of helicopter, and an online modeling method for helicopter based on SVM is proposed. It is shown by simulation that the online SVM modeling method leads to a significant speed up in the training process,...
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