Lau Laynes-Lozada, Gustavo Salvador (Date of defense: 2019-11-29)
The main contribution of this thesis is to deepen and generalize previous work done in the average-case analysis of partial match queries in several types of multidimensional search trees. In particular, ...
Ruffini, Matteo (Date of defense: 2019-02-14)
Learning latent variable models is a fundamental machine learning problem, and the models belonging to this class - which include topic models, hidden Markov models, mixture models and many others - ...
Zavala, Edith (Date of defense: 2019-07-05)
Nowadays, most of the approaches supporting self-adaptive systems (SASs) rely on static feedback control loops, for managing their adaptation process. One of the most popular feedback loops is the MAPE-K ...
Navas Palencia, Guillermo (Date of defense: 2019-07-22)
In this dissertation, we investigate new methods to obtain uniform asymptotic expansions for the numerical evaluation of special functions to high-precision. We shall first present the theoretical and ...
Moreno Vega, Alberto (Date of defense: 2019-03-08)
Improvements in circuit manufacturing have allowed, along the years, increasingly complex designs. This has been enabled by the miniaturization that circuit components have undergone. But, ...
Machado, Lucas (Date of defense: 2019-02-21)
Over the course of 60 years, since the invention of the integrated circuit (IC), exponential improvements in cost, performance and power consumption were observed. Such advances have been strongly linked ...
Martínez Garcia, Eva (Date of defense: 2019-12-19)
In this thesis, we study the automatic translation of documents by taking into account cross-sentence phenomena. This document-level information is typically ignored by most of the standard state-of-the-art ...