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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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Forecast combinations
(2023-06)
In the forecasting community, forecast combinations have grown dramatically. Their uses in time series span a multitude of fields, including assisting in recent years to predict COVID-19 deaths and hospital admissions ...
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Inferencia bayesiana
(2018)
The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we will state this formula and will discuss how to use it. It will be shown that, according to the ...
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Mathematical optimization and social networks
(2015-06-22)
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Problemas de localización competitiva. El modelo de Huff
(2016-06)
The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its facilities. Location theory deals with the modelling, formulation and solution of mathematical problems ...
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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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Explainability and Causality in Machine Learning through Shapley values
(2022-06-02)
Explainability and causality are becoming increasingly relevant in Machine Learning research. On the one hand, given the growing use of models in decision-making processes, the way in which they make predictions needs to ...
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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 ...