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Abstract: A new directional-ambiguity removal algorithm has been developed for improving the wind fields derived from a scatterometer. Exploiting the natural spatial variability of ocean surface wind ...
What the technology can do today—and what’s next by Thomas H. Davenport, Abhijit Guha and Dhruv Grewal Of all a company’s functions, marketing has perhaps the most to gain from artificial ...
Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in ...
Add a description, image, and links to the spaced-repetition-algorithm topic page so that developers can more easily learn about it.
As this results in a very high number of potential predictors, we apply a Bayesian variable-selection algorithm to find the best model based on any subset of all potential predictors. To do this, we ...
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