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A framework for abstraction and virtualization of sensors in mobile context-aware computing
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2015-06-29)
[EN] The latest mobile devices available nowadays are leading to the development of a new generation of mobile applications that are able to react to context. Context- awareness requires data from the environment, usually ...
Contributions on agreement in dynamic distributed systems
(2015-06-25)
This Ph.D. thesis studies the agreement problem in dynamic distributed systems by integrating both the classical fault-tolerance perspective and the more recent formalism based on evolving graphs. First, we developed a ...
PIM-SM extension for Source-Specific Multicast through non multicast networks
(2015-10-08)
Deployment of multicast in the open Internet is stagnated, mainly as a result of service provider policies and network limitations. To skip the lack of multicast connectivity between receivers and networks that carry traffic ...
Contributions to the efficient use of general purpose coprocessors: kernel density estimation as case study
(2015-06-19)
The high performance computing landscape is shifting from assemblies of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator ...
Contributions to High-Throughput Computing Based on the Peer-to-Peer Paradigm
(2015-06-18)
This dissertation focuses on High Throughput Computing (HTC) systems and how to build a working HTC system using Peer-to-Peer (P2P) technologies. The traditional HTC systems, designed to process the largest possible number ...
Optimisation of the first principle code Octopus for massive parallel architectures: application to light harvesting complexes
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2015-06-04)
[EN]Computer simulation has become a powerful technique for assisting scientists in developing novel insights into the basic phenomena underlying a wide variety of complex physical systems. The work reported in this thesis ...
Combination of web usage, content and structure information for diverse web mining applications in the tourism context and the context of users with disabilities
(2015-07-27)
This PhD focuses on the application of machine learning techniques for behaviourmodelling in different types of websites. Using data mining techniques two aspects whichare problematic and difficult to solve have been ...
Dynamic selection of the best base classifier in one versus one
(Elsevier, 2015-05-19)
Class binarization strategies decompose the original multi-class problem into several binary sub-problems. One versus One (OVO) is one of the most popular class binarization techniques, which considers every pair of classes ...
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
(Elsevier, 2015-01-24)
This paper proposes a novel approach to select the individual classifiers to take part in a Multiple-Classifier System. Individual classifier selection is a key step in the development of multi-classifiers. Several works ...
An efficient implementation of kernel density estimation for multi-core and many-core architectures
(Sage, 2015-03-16)
Kernel density estimation (KDE) is a statistical technique used to estimate the probability density function of a sample set with unknown density function. It is considered a fundamental data-smoothing problem for use with ...