Santiago Torres-Alegre

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This chapter is dedicated to scope of the application of Importance Sampling Techniques to the design phase of Neyman-Pearson Neural Detectors. This phase usually requires the application of Monte-Carlo trials in order to estimate some performance parameters. The classical Monte-Carlo method is suitable to estimate high event probabilities but not suitable(More)
Correct diagnosis of cardiac arrhythmias is one of the major problems in medical field. Cardiac arrhythmias can be early detected and diagnosed to prevent the occurrence of heart attack as well as the consequent deaths. An effective method for early detection of these arrhythmias, and thus to procure early treatment, is necessary. In this research we have(More)
We present the results of an unsupervised classification of the disk and halo white dwarf populations in the solar neighborhood. The classification is done by merging the results of detailed Monte Carlo (MC) simulations, which reproduce very well the characteristics of the white dwarf populations in the solar neighborhood, with a catalogue of real stars.(More)
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