Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition

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Testing Hypotheses by Regularized Maximum Mean Discrepancy (2013, background): “The reader is referred to [4], [8] for a detailed study on these kernels.”
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach (2018, methodology): “In fact, this dataset was synthetic (Danafar et al., 2010), and we suspect that Gaussian noise may have been used in its simulation, which would explain the superior performance of MVE-Ens.”
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs (2020, background): “With the above examples of graph functionals in mind, recall that the next step in computing η̂n is to construct characteristic kernels on Y which is an area of active research in the machine learning community (see [39, 28, 26, 98]).”
Random Laplace Feature Maps for Semigroup Kernels on Histograms (2014, background): “These kernels have also been studied in the context of injective Reproducing Kernel Hilbert Space (RKHS) embeddings of probability distributions on groups and semigroups [9, 6].”