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Prioritization of candidate cancer genes-an aid to oncogenomic studies
(Oxford University Press, 2008-10)
The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing ...
Sampling and learning the Mallows and Generalized Mallows models under the Cayley distance
(2014-01-22)
[EN]The Mallows and Generalized Mallows models are compact yet powerful and natural ways of representing a probability distribution over the space of permutations. In this paper we deal with the problems of sampling and ...
Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance
(2014-01-22)
[EN]In this paper we deal with distributions over permutation spaces. The Mallows model is the mode l in use. The associated distance for permutations is the Hamming distance.
Sampling and learning the Mallows model under the Ulam distance
(2014-01-22)
[EN]In this paper we deal with probability distributions over permutation spaces. The Probability model in use is the Mallows model. The distance for permutations that the model uses in the Ulam distance.
Efficient meta-heuristics for spacecraft trajectory optimization
(2021-03-11)
Uno de los problemas más difíciles de la ingeniería espacial es la optimización de la trayectoria de las naves espaciales. Dicha optimización puede formularse como un problema de optimización que dependiendo del tipo de ...
A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
(2009)
In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ...
Data analysis advances in marine science for fisheries management : supervised classification application
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-05-06)
La gestión de pesquerías tiene un gran impacto a muchos niveles: biológico, económico, social y político con gran incertidumbre sobre las relaciones entre el clima, los peces y las decisiones de gestión. Esta tesis doctoral, ...
Development of hybrid metaheuristics based on instance reduction for combinatorial optimization problems
(2017-07-14)
La tesis presentada describe el desarrollo de algoritmos metaheurísticos híbridos, basados en reducción de instancias de problema. Éstos son enfocados en la resolución de problemas de optimización combinatorial. La motivación ...
Learning Probability Distributions over Permutations by Means of Fourier Coefficients
(2011)
A large and increasing number of data mining domains consider data
that can be represented as permutations. Therefore, it is important to
devise new methods to learn predictive models over datasets of permutations.
However, ...
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 ...