Open AccessLearning the Kernel Matrix with Low-Rank Multiplicative Shaping
Author(s) -
Tomer Levinboim,
Fei Sha
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v26i1.8306
Subject(s) - multiple kernel learning , kernel (algebra) , tree kernel , computer science , benchmark (surveying) , rank (graph theory) , artificial intelligence , kernel method , machine learning , kernel embedding of distributions , kernel principal component analysis , polynomial kernel , multiplicative function , mathematics , pattern recognition (psychology) , support vector machine , combinatorics , geography , mathematical analysis , geodesy
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