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Frobenius norm induced distances between distribution inputs

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#metric-spaces #normed-spaces #machine-learning
34
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Taylor expansion on PRML(5.28)

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#optimization #machine-learning #hessian-matrix
118
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Meaning "unique nearest neighbour" (k-NN)

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#machine-learning
590
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What is the (sub-)gradient of $\|W^TW-I\|_*$ w.r.t. the matrix variable $W$?

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#calculus #linear-algebra #matrices #machine-learning
287
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How to MCMC (or other simulation) given a non-stationary distribution?

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#stochastic-processes #markov-chains #machine-learning #markov-process #monte-carlo
24
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Support vectors in kernel based SVM

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#statistics #machine-learning
136
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Why the constraints in optimization problems are preferred to be convex?

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#optimization #convex-optimization #machine-learning #non-convex-optimization
176
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What does it mean for an expression to be an orthogonal projection onto the latent space

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#linear-algebra #machine-learning
26
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Distance in k-NN

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#statistics #machine-learning
87
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How to find complete log likelihood for mixture of PPCA

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#probability-theory #machine-learning
1.2k
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Mercer's Theorem importance (Kernels)

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#hilbert-spaces #machine-learning
130
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Proving that a function f is a kernel.

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#inner-products #machine-learning
56
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least square failure as classifier

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#statistics #statistical-inference #conditional-expectation #machine-learning #maximum-likelihood
621
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Compute the posterior density for r

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#probability #statistics #statistical-inference #machine-learning #bayesian
461
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Resources for Algebraic Machine Learning

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#abstract-algebra #reference-request #category-theory #machine-learning

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