Generalization Performance of <inline-formula> <tex-math notation="LaTeX">$\ell_1$ </tex-math></inline-formula>-Coefficient Regularized Regression With Multiscale Kernels Based on Markov Chain Samples
This paper considers a ℓ<sub>1</sub>-coefficient regularized regression algorithm with multiscale kernels based on non-independent and identically distributed (non-i.i.d.) samples. The data-dependent hypothesis space with multiscale kernels contains more functions than single-...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8901193/ |