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Instances of combinatorial optimization problems: complexity and generation
(2015-05-22)
La optimización combinatoria considera problemas donde el objetivo es hallar el punto que maximiza o minimiza una función y donde el espacio de búsqueda es nito o innito numerable. La resolución de estos problemas es de ...
On the optimal usage of labelled examples in semi-supervised multi-class classification problems
(2015-04-23)
In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a ...
Contributions on distance-based algorithms, multi-classifier construction and pairwise classification
(2015-05-12)
Aurkezten den ikerketa lan honetan saikapen atazak landu dira, non helburua,sailkapen gainbegiratuaren artearen-egoera aberastea izan den. Sailkapengainbegiratuaren zenbait estrategi analizatu dira, beraien ezaugarri ...
Contributions to Ensemble Classifiers with Image Analysis Applications
(2015-12-18)
Ésta tesis tiene dos aspectos fundamentales, por un lado, la propuesta denuevas arquitecturas de clasificadores y, por otro, su aplicación a el análisis deimagen.Desde el punto de vista de proponer nuevas arquitecturas de ...
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
(Public Library Science, 2015-07-09)
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. ...
Bertso transformation with pattern-based sampling
(2015-08-07)
This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those ...
Contributions to learning Bayesian network models from weakly supervised data: Application to Assisted Reproductive Technologies and Software Defect Classification
(2015-10-23)
Las técnicas de análisis de datos permitenextraer información de un conjunto de datos. Hoy en día, con la explosión delas nuevas tecnologías, el enorme volumen de datos que una amplia variedadde dispositivos recogen y ...
Contributions to time series data mining departing from the problem of road travel time modeling
(2015-11-27)
Bidaiarientzako Informazio Sistema Aurreratuak (BISA) errepideetan sensoreenbidez bildutako datuak jaso, prozesatu eta jakitera ematen dituzte,erabiltzailei haien bidaietan lagunduz eta ibilbidea hasi baino lehen eta ...
Spherical Deconvolution of MultichannelDiffusion MRI Data with Non-Gaussian NoiseModels and Spatial Regularization
(Biomed Central, 2015-10-15)
Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assume a zero-mean Gaussian distribution for ...