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Mathematical optimization in deep learning
(2019-06)
Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular and effective ML architectures and are the subject of a very intense investigation. They have ...
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Optimización matemática en problemas de la Física
(2018-06)
In this work, Spin Glasses with Ising Sping model are studied. The objetive is the computation of the magnetic partition function and the search of the groung state. When we consider a two-dimensional lattice the problems ...
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Kernels Methods in Machine Learning
(2022-06-24)
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Random Forests: Properties and applications
(2020-09-01)
Random forests are considered a fundamental tool in supervised learning. Conse quently, random forests are used in a wide range of disciplines, yielding great results and demonstrating many advantages in classification and ...
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Explainable Machine Learning: Mathematical Optimization in Counterfactual Analysis
(2022-06-01)
Counterfactual Analysis is a recent field of Explainable Machine Learning focused on the development of methods to provide human-understandable explanations for the results of predictive models. Further research and ...
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Optimisation of Airspace Sectorisation
(2020-06-01)
This research was financially supported by CRIDA, who also provided us data for this research. This master thesis has been supported partially by solution PJ09-W2.44 which has received funding from the SESAR Joint Undertaking ...