A Robust Regularization Path Algorithm for \nu -Support Vector Classification

The v-support vector classification has the advantage of using a regularization parameter v to control the number of support vectors and margin errors. Recently, a regularization path algorithm for v-support vector classification (v-SvcPath) suffers exceptions and singularities in some special cases...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2017-05, Vol.28 (5), p.1241-1248
Main Authors: Bin Gu, Sheng, Victor S.
Format: Article
Language:English
Subjects:
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Algorithm design and analysis
Algorithms
Classification
Convergence
Convex functions
finite convergence
Learning systems
lower upper decomposition
Regularization
Robustness
Singularity (mathematics)
solution path
Support vector machines
Theoretical analysis
Training
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