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RISA Neural Network -Based Training Scheme for Probabilistic Support Vector Machine
In this paper a new scheme is proposed for training of the support vector machine (SVM) with probabilistic constraints. In the SVM, a pattern recognition problem is coverted to a constraint quadratic programming . Each constraint is related to a...
Comment on ”Robustness and Regularization of Support Vector Machines” by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009)
This paper comments on the published work dealing with robustness and regularization of support
vector machines (Journal of Machine Learning Research, Vol. 10, pp. 1485-1510, 2009) by H. Xu
et al. They proposed ...
Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
investigation is the presence of an effective method for multi-fault diagnosis in such systems with optimizing signal
decomposition levels by using wavelet analysis and support vector machine (SVM). The system that is under study is an
electric motor which has two...
TCP Traffic Classification Using Relaxed constraints support vector machines
operators to predict future traffics and detect anomalous behavior and also allows
researchers to create traffic models. In this paper, we use a new architecture of
support vector machines, namely relaxed constraints support vector machines...
The probabilistic constraints in the support vector machine
In this paper, a new support vector machine classifier with probabilistic constrains is proposed which presence probability of samples in each class is determined based on a distribution function. Noise is caused incorrect calculation of support...
USING NONLINEAR NEURAL NETWORK INTO PROBABILISTIC SUPPORT VECTOR MACHINE
Abstract. In this paper,We solve the probabilistic constraints
support vector machine (PC-SVM) problems by a nonlinear neural
network....