Titlebook: Artificial Intelligence and Machine Learning; 31st Benelux AI Conf Conference proceedings 2020

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https://doi.org/10.1007/978-1-349-18048-6hod to yield low-rank approximations of kernel matrices is evaluated by comparing the accuracy of the Nystr?m approximation on multiple datasets. Afterwards, we demonstrate the usefulness of the model on an image search task.

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Towards a Phylogenetic Measure to Quantify HIV Incidencecomplex problem, as many HIV infected individuals remain unaware of their infection status, leading to parts of HIV epidemics being undiagnosed and under-reported. We first present a method to learn epidemiological parameters from phylogenetic trees, using approximate Bayesian computation (ABC). The

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Latent Space Exploration Using Generative Kernel PCAow for a representation of kernel PCA in terms of hidden and visible units similar to Restricted Boltzmann Machines. This connection has led to insights on how to use kernel PCA in a generative procedure, called generative kernel PCA. In this paper, the use of generative kernel PCA for exploring lat

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Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacksral inputs which drastically alter the output of the model even though no relevant features appear to have been modified. One explanation that has been offered for this phenomenon is the ., which states that the probabilistic predictions of typical ML models are miscalibrated. As a result, classifie

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