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Smoothed discrepancy principle as an early stopping rule in RKHS
Author(s) -
Yaroslav Averyanov,
Alain Célisse
Publication year - 2019
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - reproducing kernel hilbert space , tikhonov regularization , estimator , early stopping , mathematics , smoothing , mathematical optimization , kernel smoother , computer science , kernel (algebra) , algorithm , regularization (linguistics) , polynomial , hilbert space , kernel method , inverse problem , artificial intelligence , statistics , mathematical analysis , discrete mathematics , artificial neural network , radial basis function kernel , support vector machine

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