@misc{10481/63966,
year = {2020},
url = {http://hdl.handle.net/10481/63966},
abstract = {In this PhD thesis we have developed different machine learning models based on Gaussian Processes. Different settings (regression, classification and crowdsourcing) are considered, and various application fields (specially remote sensing and astrophysics, but also threat detection and sentiment analysis) are targeted.
The main global conclusion of this PhD thesis is the versatility of Gaussian Processes to
model different scenarios (regression, classification, crowdsourcing) and target various
applications (remote sensing, security, astrophysics), either as the central algorithm to
perform the task at hand (Chapters 2-7) or as an auxiliary tool to be integrated within a
larger model (Chapter 8)},
organization = {Tesis Univ. Granada.},
organization = {Fundación La Caixa},
publisher = {Universidad de Granada},
keywords = {Gaussian Processes},
keywords = {Machine learning},
keywords = {Remote sensing},
keywords = {Astrophysics},
title = {Development of New Machine Learning Models Based on Gaussian Processes. Applications to Remote Sensing and Astrophysics},
author = {Morales Álvarez, Pablo},
}