We investigate a problem of mimicking the behavior of a nearest neighbor binary classifier with a distance measure function ρp (x, X) = kx − Xkp, p ∈ (0, ∞).

We consider the problem of mimicking the behavior of the nearest neighbor algorithm with an unknown distance measure. Our goal is, in particular, ...

Jun 16, 2021 · We consider the problem of mimicking the behavior of the nearest neighbor algorithm with an unknown distance measure.

Abstract. We consider the problem of mimicking the behavior of the nearest neighbor algorithm with an unknown distance measure. Our goal is, in particular, ...

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We demonstrate DAGGER is scalable and outperforms previous approaches in practice on two challenging imitation learning problems: 1) learn-.

Differential replication through copying refers to the process of replicating the decision behavior of a machine learning model using another model that ...

Apr 14, 2022 · Thanks to the equivalence, AN can be used to learn gA,q(x) to mimic a behavior of the classifier gS,p(x) based on the original set SN even when ...

The optional top k case selection layer imitates a k-NN model selecting the top k nearest neighbors. When this layer is disabled, NN-kNN behaves more like a.

Apr 17, 2022 · Mimicking Learning for 1-NN Classifiers. June 2021 · Lecture Notes in Computer Science. Przemyslaw Sliwinski · Paweł Wachel ...