Browsing Faculty of Engineering by Subject "High-dimensional Feature Spaces"
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Variable kernel density estimation in high-dimensional feature spaces
(Association for the Advancement of Artificial Intelligence, 2017)Estimating the joint probability density function of a dataset is a central task in many machine learning applications. In this work we address the fundamental problem of kernel bandwidth estimation for variable kernel ...