Abstract: It is well known that, under appropriate hypotheses, a sampling formula allows us to recover any function in a principal shift-invariant space from its samples taken with sampling period one ...

In order to further improve the accuracy of the lunar radiation correction, an oversampling correction method based on the lunar phase function was first proposed in this article. This method avoided ...

R package for undersampling and oversampling of imbalanced data sets - jrgantunes/ImbalancedLearning. R package for undersampling and oversampling of imbalanced data sets ... “Greedy Function ...

Learn how to balance the complexity and interpretability of your function approximation methods, such as linear, nonlinear, or deep neural networks, in reinforcement learning.

We developed a Nonlinear Level-set Learning (NLL) method for dimensionality reduction in high-dimensional function approximation with small data. This work is motivated by a variety of design tasks in ...

It will focus on how these methods have been combined with parametric function approximation, including deep learning, to find good approximate solutions to problems that are otherwise too large to be ...