Learning With Asymmetric Kernels: Least Squares and Feature Interpretation

Author:

He Mingzhen1ORCID,He Fan1ORCID,Shi Lei2,Huang Xiaolin1ORCID,Suykens Johan A. K.3ORCID

Affiliation:

1. Department of Automation, MOE Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Shanghai, China

2. Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, China

3. Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference63 articles.

1. Indefinite Proximity Learning: A Review

2. A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods;lin;Neural Comput,2003

3. Fast learning in reproducing kernel Kre?n spaces via signed measures;liu;Proc Int Conf Artif Intell Statist,2021

4. Classification With Truncated $\ell _{1}$ Distance Kernel

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