Multiple kernel learning by empirical target kernel

DOI10.1142/S0219691319500589zbMath1435.68285OpenAlexW2970160020MaRDI QIDQ5221436

Dongfeng Cai, Peiyan Wang

Publication date: 25 March 2020

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691319500589

zbMATH Keywords

classificationmultiple kernel learningtarget kernel

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces) (47B32)

Uses Software

• SHOGUN
• SimpleMKL
• SpicyMKL
• EasyMKL

Cites Work

• SpicyMKL: a fast algorithm for multiple kernel learning with thousands of kernels
• An efficient kernel matrix evaluation measure
• Multiple kernel clustering based on centered kernel alignment
• Fractional-Wavelet Analysis of Positive definite Distributions and Wavelets on $$\varvec{\mathscr {D'}}(\mathbb {C})$$ D ′ ( C )
• Learning by Kernel Polarization
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