- Category:
- matlab
- Tags:
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[Matlab]
[源码]
- File Size:
- 5kb
- Update:
- 2016-03-06
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- Uploaded by:
- 李三
Description:
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
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File list (Check if you may need any files):
scale.m
multliple-output-tsvr.m
kernelmatrix.m
assessment.m
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