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Multiple kernel learning

machine learning methods that use a predefined set of kernels and learn an optimal linear or non-linear combination of kernels as part of the algorithm

Pronunciation
/ˈməltəpəl ˈkərnl ˈlərnɪŋ/
/ˈmʌltɪpəl ˈkəːnəl ˈləːnɪŋ/
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