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Measuring the similarity between distance vectors

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#machine-learning #regression #computational-mathematics #correlation #wasserstein
50
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Why do bellman error gradients become big?

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#machine-learning #regression #gradient-descent #dynamic-programming
62
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How to discover a recursive relation in a data set?

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#combinatorics #elementary-number-theory #solution-verification #algorithms #machine-learning
85
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Are Graphs with "Edge Weights" more popular than Graphs with "Node Weights"?

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#graph-theory #machine-learning
316
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Multiclass Linear Discriminant Analysis

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#linear-algebra #statistics #eigenvalues-eigenvectors #machine-learning #python
115
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Likelihood of two dependent variables

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#probability #machine-learning
112
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SVM derivative with respect to X

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#machine-learning
36
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$k$-means clustering as an operator

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#functional-analysis #operator-theory #machine-learning
62
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Formal definition of decision tree

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#machine-learning #markov-process #combinatorial-game-theory #decision-trees
73
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Why the magnitudes of the gradients produced by the soft targets scale as $1/T^2$ in knowledge distillation?

Published on
#machine-learning #neural-networks
32
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Looking to Learn more about compressed sensing. Looking for guidances (on algorithms).

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#optimization #maxima-minima #machine-learning #wavelets
74
Views

Computing KL divergence between Poisson and Normal?

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#probability-theory #normal-distribution #machine-learning #poisson-distribution #information-theory
79
Views

Stochastic gradient descent as kernel convolution

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#optimization #stochastic-processes #machine-learning #convolution #gradient-descent
229
Views

clarification about the kl divergence between a continuous and a discrete distribution

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#probability-theory #statistics #machine-learning #information-theory
59
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About running variance in Batch Normalization layer

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#machine-learning #variance #invariant-theory #invariance #invariant-subspace

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