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Optimal learning with Gaussians and correntropy loss
Fusheng Lv,
Jun Fan
*
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
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Journal article
›
peer-review
26
Citations (Scopus)
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Keyphrases
Approximation Error
33%
Classical Least Square Method
33%
Correntropy Loss
100%
Correntropy-based
33%
Covering number
33%
Gaussian Kernel
100%
Information Theoretic Learning
33%
Learning Algorithm
33%
Non-Gaussian Noise
33%
Optimal Convergence Rate
33%
Optimal Learning
100%
Polynomial Decay
33%
Regression Function
33%
Regularization Scheme
33%
Sampling Error
33%
Scale Parameter
33%
Smoothness Condition
33%
Sobolev Smoothness
33%
Suitable Scale
33%
Theoretical Properties
33%
Tight Upper Bound
33%
Tikhonov Regularization
33%
Uniform Cover
33%
Computer Science
Approximation (Algorithm)
33%
Gaussian Kernel
100%
Information-Theoretic Learning
33%
Learning Algorithm
33%
Least Squares Method
33%
Non-Gaussian Noise
33%
Regression Function
33%
Scale Parameter
33%
Tikhonov Regularization
33%
Mathematics
Approximation Error
20%
Covering Number
20%
Gaussian Distribution
100%
Least Square
20%
Minimax
20%
Polynomial
20%
Random Noise
20%
Regression Function
20%
Regularization
20%
Scale Parameter
20%
Square Method
20%
Upper Bound
20%
Physics
Gaussian Distribution
100%
Least Squares Method
20%
Non-Gaussian Noise
20%