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ml-recall

#markov-random-fields

12 questions from Probabilistic & Graphical Models

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12 questions · 12 min · score and explanations at the end

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Question 1: Select all that apply

mediumAI-checkedProbabilistic & Graphical Models

A Gibbs distribution over x1,…,x5x_1, \ldots, x_5 factorises as p∝ϕ12(x1,x2) ϕ13(x1,x3) ϕ14(x1,x4) ϕ23(x2,x3) ϕ25(x2,x5) ϕ45(x4,x5).p \propto \phi_{12}(x_1,x_2)\,\phi_{13}(x_1,x_3)\,\phi_{14}(x_1,x_4)\,\phi_{23}(x_2,x_3)\,\phi_{25}(x_2,x_5)\,\phi_{45}(x_4,x_5). Draw its undirected graph (one edge per pair of variables that share a factor). Which statements hold for every such distribution? Select all that apply.

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