Listar Facultad de Matemáticas por autor "Carrizosa Priego, Emilio José"
Mostrando ítems 1-20 de 20
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Classification of functional data. A mathematical optimization approach.
García Camino, Belén del Rocío (2022-06-18)Functional data appear more and more in modern societies, in which many processes are monitored in real time. Classification ...
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Explainability and Causality in Machine Learning through Shapley values
Carballo Castro, Alba (2022-06-02)Explainability and causality are becoming increasingly relevant in Machine Learning research. On the one hand, given the ...
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Explainable Machine Learning: Mathematical Optimization in Counterfactual Analysis
Martín Agüera, Agustín (2022-06-01)Counterfactual Analysis is a recent field of Explainable Machine Learning focused on the development of methods to provide ...
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Forecast combinations
Tobar Fernández, Cristina (2023-06)In the forecasting community, forecast combinations have grown dramatically. Their uses in time series span a multitude ...
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Inferencia bayesiana
Ortiz Padilla, Íñigo (2018)The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we ...
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Kernels Methods in Machine Learning
Naranjo Bejarano, Enrique (2022-06-24) -
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Mathematical optimization and feature selection
Casado Reinaldos, Alejandro (2015-06-21) -
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Mathematical optimization and social networks
Díaz Mena, Lourdes (2015-06-22) -
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Mathematical optimization in deep learning
Ramírez Ayerbe, Miren Jasone (2019-06)Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular ...
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El método de aproximación por media muestral
González López, Rafael (2018-06)The sample average approximation (SAA) method is an approach for solving stochastic optimization problems by using Monte ...
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Monte Carlo Simulation: Methods and Applications
Díaz Sánchez, Laura (2021-06-05)En el ámbito de las matemáticas y la ingeniería aparecen frecuentemente integrales multidimensionales que son difíciles ...
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Optimisation of Airspace Sectorisation
Ramírez Ayerbe, Miren Jasone (2020-06-01)This research was financially supported by CRIDA, who also provided us data for this research. This master thesis has ...
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Optimización matemática en problemas de la Física
Brenes Ferreiro, María de las Mercedes (2018-06)In this work, Spin Glasses with Ising Sping model are studied. The objetive is the computation of the magnetic partition ...
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Problemas de localización competitiva. El modelo de Huff
Molero del Río, María Cristina (2016-06)The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its ...
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Random Forests: Properties and applications
Villalba Pizarro, Fátima del Pilar (2020-09-01)Random forests are considered a fundamental tool in supervised learning. Conse quently, random forests are used in a wide ...
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Random survival forests
Marín Maqueda, Luis (2021-05-15)Survival Analysis is a crucial problem in statistics that tries to explain and model the behaviour of the individuals of ...
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Regresión Lasso
Ramos Castillo, Laura (2018-06)Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, ...
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Sparse Methods in Classification and Regression
Rivero Martínez, Antonio (2021-06)The regression problem with a large number of variables appears in various fields of science, sparse methods make this ...
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Statistical models in pharmacokinetics and pharmacodynamics
Benítez Peña, Sandra (2015-06-21) -
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Support vector regression : propiedades y aplicaciones
Martín Guareño, Juan José (2016)Statistical learning plays a key role in many areas of science, finance and industry. In particular, supervised learning ...