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scientific article; zbMATH DE number 7049765

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7049765

Statements

scholarly article

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publication date

2 May 2019

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full work available at URL

http://jmlr.csail.mit.edu/papers/v20/18-063.html

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zbMATH Keywords

learning theory

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kernel ridge regression

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boosting

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integral operator

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MaRDI profile type

MaRDI publication profile

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On regularization algorithms in learning theory

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Convergence rates of Kernel Conjugate Gradient for random design regression

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Boosting With the<i>L</i><sub>2</sub>Loss

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Optimal rates for the regularized least-squares algorithm

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CROSS-VALIDATION BASED ADAPTATION FOR REGULARIZATION OPERATORS IN LEARNING THEORY

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Learning Theory

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An extension of Mercer theorem to matrix-valued measurable kernels

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On the choice of the regularization parameter for iterated Tikhonov regularization of ill-posed problems

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Regularization networks and support vector machines

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Boosting a weak learning algorithm by majority

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Greedy function approximation: A gradient boosting machine.

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Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)

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Spectral Algorithms for Supervised Learning

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Learning theory of distributed spectral algorithms

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Thresholded spectral algorithms for sparse approximations

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A distribution-free theory of nonparametric regression

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Nonstationary iterated Tikhonov regularization

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Nonstationary iterated Tikhonov regularization for ill-posed problems in Banach spaces

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On the choice of the regularization parameter for ordinary and iterated Tikhonov regularization of nonlinear ill-posed problems

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Approximation of generalized inverses by iterated regularization

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Distributed kernel-based gradient descent algorithms

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Optimal learning rates for kernel partial least squares

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\(L_{2}\) boosting in kernel regression

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Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces

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Shannon sampling and function reconstruction from point values

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Learning theory estimates via integral operators and their approximations

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Mercer's theorem on general domains: on the interaction between measures, kernels, and RKHSs

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On early stopping in gradient descent learning

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:4633060

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