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Physics Informed Shallow Machine Learning for Wind Speed Prediction
We train supervised learning algorithms using the past history of wind to predict its value at a future time (horizon).
Interpolation and Learning with Scale Dependent Kernels
We study the learning properties of nonparametric ridge-less least squares.
Implicit Regularization of Accelerated Methods in Hilbert Spaces
We study learning properties of accelerated gradient descent methods for linear least-squares in Hilbert spaces.
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