Different options for approximate factorizations M ≈ MA ⊗ MB and .
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These options correspond to the first superscript in ϕ-measures such as ϕofuk. The optimal factorizations maximize the accuracy of the approximate probability distribution that they predict, while the “noising” factorizations are instead defined by treating the input from the other subsystem as random noise, either with uniform distribution (option “n”) or with the observed marginal distribution (option “m”).
创建时间：
2016-11-22
