arXiv Open Access 2013

On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods

Andreas Christmann Robert Hable

Lihat Sumber

Abstrak

It is shown that bootstrap approximations of support vector machines (SVMs) based on a general convex and smooth loss function and on a general kernel are consistent. This result is useful to approximate the unknown finite sample distribution of SVMs by the bootstrap approach.

Topik & Kata Kunci

stat.ML cs.LG

Penulis (2)

Andreas Christmann

Robert Hable

Format Sitasi

APA MLA BibTeX

Christmann, A., Hable, R. (2013). On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods. https://arxiv.org/abs/1301.6944

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2013
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓