Search alternatives:
bayesian optimization » based optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
case bayesian » task bayesian (Expand Search), naive bayesian (Expand Search), a bayesian (Expand Search)
binary case » binary mask (Expand Search), primary case (Expand Search)
image model » damage model (Expand Search), primate model (Expand Search), climate model (Expand Search)
bayesian optimization » based optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
case bayesian » task bayesian (Expand Search), naive bayesian (Expand Search), a bayesian (Expand Search)
binary case » binary mask (Expand Search), primary case (Expand Search)
image model » damage model (Expand Search), primate model (Expand Search), climate model (Expand Search)
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Thesis-RAMIS-Figs_Slides
Published 2024“…Importantly, this strategy locates samples adaptively on the transition between facies which improves the performance of conventional \emph{<i>MPS</i>} algorithms. In conclusion, this work shows that preferential sampling can contribute in \emph{<i>MPS</i>} even at very small sampling regimes and, as a corollary, demonstrates that prior models (obtained form a training image) can be used effectively not only to simulate non-sensed variables of the field, but to decide where to measure next.…”
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DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Logistic regression emerged as the optimal machine learning algorithm for both DLR models. …”
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