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ml-recall

#kernels

10 questions from Nearest Neighbors & Kernel Methods, Probabilistic & Graphical Models, Convolutional Neural Networks, Computer Vision Basics

Timed test

10 questions · 10 min · score and explanations at the end

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Question 1: Single choice

mediumAI-checkedNearest Neighbors & Kernel Methods

You draw prior sample functions from a zero-mean GP with the Ornstein–Uhlenbeck (exponential) kernel kOU(x,x′)=exp⁡(−∣x−x′∣2ℓ)k_{\textrm{OU}}(x, x') = \exp\left(-\frac{|x - x'|}{2\ell}\right) and from a GP with the RBF kernel with the same ℓ\ell. How do the OU samples look different?

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