no code implementations • 2 Aug 2023 • Jose González-Abad, Álex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez
Global Climate Models (GCMs) are the primary tool to simulate climate evolution and assess the impacts of climate change.
1 code implementation • 3 Feb 2023 • Jose González-Abad, Jorge Baño-Medina, José Manuel Gutiérrez
Deep learning (DL) has emerged as a promising tool to downscale climate projections at regional-to-local scales from large-scale atmospheric fields following the perfect-prognosis (PP) approach.
no code implementations • 28 Jun 2021 • Catharina Elisabeth Graafland, José Manuel Gutiérrez
Gene expression datasets consist of thousand of genes with relatively small samplesizes (i. e. are large-$p$-small-$n$).
no code implementations • 30 May 2018 • Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
Three classes of algorithms to learn the structure of Bayesian networks from data are common in the literature: constraint-based algorithms, which use conditional independence tests to learn the dependence structure of the data; score-based algorithms, which use goodness-of-fit scores as objective functions to maximise; and hybrid algorithms that combine both approaches.