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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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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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Deep learning
(2019-07)
Desde hace unos años es incuestionable que la Inteligencia Artificial avanza a pasos agigantados. Es especialmente destacable el rápido desarrollo que ha experimentado la rama de la Inteligencia Artificial denominada ...
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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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Regresión Lasso
(2018-06)
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, better will be solved the problem. The models seek: precise predictions, stability and interpretab ...
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Mathematical optimization and feature selection
(2015-06-21)