A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Geographical Gaussian Process Regression (GGPR): A Spatial Machine Learning Model Based on Spatial Similarity: defined as A-Xing Zhu et al. (2018): "The more similar geographic configurations of two ...
Abstract: The Gaussian process (GP) regression model is a widely employed supervised learning approach. In this paper, we estimate the GP model through variational inference, particularly employing ...
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