A Simpler Approach to Coefficient Regularized Support Vector Machines Regression
We consider a kind of support vector machines regression (SVMR) algorithms associated with lq (1≤q<∞) coefficient-based regularization and data-dependent hypothesis space. Compared with former literature, we provide here a simpler convergence analysis for those algorithms. The novelty of our ana...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/206015 |
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