Taxonomic Prediction with Tree-Structured Covariances

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New improvements in the use of dependence measures for sensitivity analysis and screening (2014, background): “Recently, new dependence measures removing these limitations have been developed by statisticians [20,21] and applied in genomics, imagery or cross-language information retrieval.[22] They have been studied in the field of GSA: they seem more robust than Sobol’ indices, promising in a screening aim ”
Improving One-Shot Learning through Fusing Side Information (2017, background): “In other words, krm (yi, yj) indicates the weighted path from the root to the nearest common ancestor of nodes yi and yj (see Lemma 1 in (Blaschko et al., 2013)).”