Generative manifold learning for the exploration of partially labeled data 

    Cruz Barbosa, Raúl (Fecha de defensa: 2009-10-01)

    In many real-world application problems, the availability of data labels for supervised learning is rather limited. Incompletely labeled datasets are common in many of the databases generated in some of the currently most ...

    Geometric constraint solving in a dynamic geometry framework. 

    Hidalgo García, Marta R. (Fecha de defensa: 2013-12-02)

    Geometric constraint solving is a central topic in many fields such as parametric solid modeling, computer-aided design or chemical molecular docking. A geometric constraint problem consists of a set geometric objects on ...

    Global illumination techniques for the computation of hight quality images in general environments 

    Pérez Cazorla, Frederic (Fecha de defensa: 2003-05-26)

    The objective of this thesis is the development of algorithms for the simulation of the light transport in general environments to render high quality still images. To this end, first we have analyzed the existing methods ...

    Heterogeneous neural networks: theory and applications 

    Belanche Muñoz, Lluís A. (Lluís Antoni) (Fecha de defensa: 2000-07-18)

    Aquest treball presenta una classe de funcions que serveixen de models neuronals generalitzats per ser usats en xarxes neuronals artificials. Es defineixen com una mesura de similitud que actúa com una definició flexible ...

    Information theoretic refinement criteria for image synthesis 

    Rigau Vilalta, Jaume (Fecha de defensa: 2006-11-17)

    Aquest treball està enmarcat en el context de gràfics per computador partint de la intersecció de tres camps: rendering, teoria de la informació, i complexitat.<br/><br/>Inicialment, el concepte de complexitat d'una escena ...

    Learning finite-state machines: statistical and algorithmic aspects 

    Balle Pigem, Borja de (Fecha de defensa: 2013-07-12)

    The present thesis addresses several machine learning problems on generative and predictive models on sequential data. All the models considered have in common that they can be de ned in terms of nite-state machines. On ...

    Learning with Feed-forward Neural Networks: Three Schemes to Deal with the Bias/Variance Trade-off 

    Romero Merino, Enrique (Fecha de defensa: 2004-11-30)

    In terms of the Bias/Variance decomposition, very flexible (i.e., complex) Supervised Machine Learning systems may lead to unbiased estimators but with high variance. A rigid model, in contrast, may lead to small variance ...

    Lightweight and static verification of UML executable models 

    Planas Hortal, Elena (Fecha de defensa: 2013-03-21)

    Executable models play a key role in many development methods (such as MDD and MDA) by facilitating the immediate simulation/implementation of the software system under development. This is possible because executable ...

    Meta-alignment of biological sequences 

    Blanco García, Enrique (Fecha de defensa: 2006-07-21)

    Les seqüències són una de les estructures de dades més versàtils que existeixen. De forma relativament senzilla, en una seqüència de símbols es pot emmagatzemar informació de qualsevol tipus. L'anàlisi sistemàtic de ...

    Modelling rational inquiry in non-ideal agents 

    Moreno Ribas, Antonio (Fecha de defensa: 2000-12-18)

    de la tesi doctoral<br/><br/>L'objectiu principal del treball realitzat ha sigut el desenvolupar una manera de modelar el procés d'investigació racional (l'evolució de les creences d'un agent racional com a conseqüència ...

    Multi-objective optimization in graphical models 

    Rollón, Emma (Fecha de defensa: 2008-11-03)

    Many real-life optimization problems are combinatorial, i.e. they concern a choice of the best solution from a finite but exponentially large set of alternatives. Besides, the solution quality of many of these problems ...

    Non-functional requirements as drivers of software architecture design 

    Ameller, David (Fecha de defensa: 2014-01-23)

    In the last decades, software engineering has become an important area of research. As researchers, we try to identify a problem, a need, or a hole in some research topic, once identified we make an effort to produce new ...

    On Collective Computation 

    Delgado Pin, Jordi (Fecha de defensa: 1997-12-05)

    On the complexity of resolution-based proof systems 

    Oliva Valls, Sergi (Fecha de defensa: 2013-05-02)

    Propositional Proof Complexity is the area of Computational Complexity that studies the length of proofs in propositional logic. One of its main questions is to determine which particular propositional formulas have short ...

    On the design and implementation of flexible software platforms to facilitate the development of advanced graphics applications 

    Fairen Gonzalez, Marta (Fecha de defensa: 2000-11-23)

    This thesis presents the design and implementation of a software development platform (ATLAS) which offers some tools and methods to greatly simplify the construction of fairly sophisticated applications. It allows thus ...

    On the intelligent management of sepsis in the intensive care unit 

    Ribas Ripoll, Vicent Jordi (Fecha de defensa: 2013-01-29)

    The management of the Intensive Care Unit (ICU) in a hospital has its own, very specific requirements that involve, amongst others, issues of risk-adjusted mortality and average length of stay; nurse turnover and communication ...

    OntoWEDSS - An Ontology-based Environmental Decision-Support System for the management of Wastewater treatment plants 

    Ceccaroni, Luigi (Fecha de defensa: 2001-12-21)

    Les contribucions d'aquesta tesi uneixen dues disciplines: ciències ambientals (específicament, gestió d'aigües residuals) i informàtica (específicament, intel·ligència artificial). El tractament d'aigües residuals com a ...

    Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees 

    Màrquez, Lluís (Fecha de defensa: 1999-07-21)

    The study and application of general Machine Learning (ML) algorithms to theclassical ambiguity problems in the area of Natural Language Processing (NLP) isa currently very active area of research. This trend is sometimes ...

    Peer-to-Peer Bartering: Swapping Amongst Self-interested Agents 

    Cabanillas, David (Fecha de defensa: 2009-04-01)

    Large--scale distributed environments can be seen as a conflict between the selfish aims of the participants and the group welfare of the population as a whole. In order to regulate the behavior of the participants it is ...

    Pointing facilitation techniques for 3d object selection on virtual environments 

    Argelaguet Sanz, Fernando (Fecha de defensa: 2011-07-04)

    Les contribucions d’aquesta tesi s’emmarquen en la interacció home-computador en entorns de realitat virtual. Concretament, en la millora de tasques de selecció d’objectes tridimensionals. La selecció d’objectes és una ...