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RISThe probabilistic constraints in the support vector machine
of the probabilistic constraints support vector machine (PC-SVM) relative to standard SVM....
Support vector regression with random output variable and probabilistic constraints
Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias are considered the random...
Vehicle Type Recognition Using Probabilistic Constraint Support Vector Machine
. Experimental results in the machine identification shows superiority of the probabilistic constraints support vector machine (PC-SVM) relative to standard SVM...
Vehicle Type Recognition Using Probabilistic Constraint Support Vector Machine
which it helps for achieving maximum
margin. Experimental results in the machine identification shows superiority of the probabilistic constraints
support vector machine (PC-SVM) relative to standard SVM....
A New Method for Classifying Random Variables Based on Support Vector Machine
proposed method. The
efficiency of our proposed method is shown by several examples for both cases (linear
and nonlinear) with probabilistic constraints....
A recurrent neural network-based method for training probabilistic Support Vector Machine
of initial point. Also
probabilistic constraints are recommended for reducing effect of noisy samples in training
procedure and appearance of incorrect Support Vectors (SV). Probabilistic constraints admit
using knowledge about...
Stochastic Support Vector Machine for Classifying and Regression of Random Variables
Support vector machine (SVM) is a supervised machine learning method which
can be used for both classification and regression models. In this paper, we introduce a
new model of SVM and support vector regression ...