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Support Vector

SV,Support Vector,support vectors,supporting vectorization,supporting vectors,supporting vector,supports vector,support vectored,Supported Vector,supp

Support Vector - SV
Publications: 2,392| Citation Count: 43,881
Stemming Variations: support vectors, supporting vectorization, supporting vectors, supporting vector, supports vector
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    • The support vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights, and threshold that minimize an upper bound on the expected test error...

    Bernhard Scholkopf, et al. Comparing support vector machines with Gaussian kernels to radial basi...

    • The Support Vector (SV) method is a new general method of function estimation which does not depend explicitly on the dimensionality of input space. It was applied for pattern recognition, regression estimation, and density estimation problems as well as for problems of solving linear operator equations...

    Vladimir N. Vapnik. The Support Vector Method

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