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Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces.
Marta Lazzaretti
Zeljko Kereta
Luca Calatroni
Claudio Estatico
Published in:
CoRR (2023)
Keyphrases
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stochastic gradient descent
loss function
least squares
matrix factorization
step size
random forests
multiple kernel learning
weight vector
total least squares
support vector machine
regularization parameter
image segmentation
machine learning
negative matrix factorization