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stat.CO2022
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets
Luca Benedetti, Eric Boniardi, Leonardo Chiani +4
After being trained on a fully-labeled training set, where the observations are grouped into a certain number of known classes, novelty detection methods aim to classify the instan…
stat.CO2021★ 1 cited
intRinsic: an R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset
Francesco Denti
This article illustrates intRinsic, an R package that implements novel state-of-the-art likelihood-based estimators of the intrinsic dimension of a dataset, an essential quantity f…