Learning non-parametric kernel via matrix decomposition for logistic regression-Reference-Cited by-同舟云学术

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Learning non-parametric kernel via matrix decomposition for logistic regression

Published:2023-07 Issue: Volume:171 Page:177-183
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wang Kaijie^ORCID,He Fan,He Mingzhen,Huang Xiaolin

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference31 articles.

1. Learning the kernel matrix with semidefinite programming;Lanckriet;J. Mach. Learn. Res.,2004

2. Optimizing the kernel in the empirical feature space;Xiong;IEEE Trans. on Neural Networks,2005

3. Data-dependent multiple kernel learning algorithm based on soft-grouping;Wang;Pattern Recognit. Lett.,2018

4. Multiple kernel learning, conic duality, and the smo algorithm;Bach,2004

5. Multiple kernel learning algorithms;Gönen;J. Mach. Learn. Res.,2011

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