Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees

23 Jan 2019Alix LhéritierFrédéric Cazals

We propose a novel nonparametric online predictor for discrete labels conditioned on multivariate continuous features. The predictor is based on a feature space discretization induced by a full-fledged k-d tree with randomly picked directions and a recursive Bayesian distribution, which allows to automatically learn the most relevant feature scales characterizing the conditional distribution... (read more)

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