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VC dimension of perpendicular lines classifier

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#machine-learning
211
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Nuclear norm minimization of convolution matrix (circular matrix) with fast Fourier transform

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#linear-algebra #optimization #machine-learning
142
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what is the meaning of Joint maximization of the likelihood function?

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#optimization #normal-distribution #machine-learning #maximum-likelihood
56
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Bayesian Theory's likelihood meaning and model

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#conditional-probability #self-learning #machine-learning #bayesian #bayes-theorem
105
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step size in gradient descent for convergence

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#optimization #machine-learning #lipschitz-functions #gradient-descent
58
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Deriving the solution for ridge polynomial regression.

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#real-analysis #statistics #statistical-inference #machine-learning #linear-regression
252
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show that $\log(1+e^z) = \log(1+e^{-|z|}) + \max(0, z)$ and explain why the right latter is more numerically stable

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#algebra-precalculus #machine-learning #numerical-optimization
51
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Approximation speed of 1-hidden-layer neural network

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#reference-request #machine-learning #neural-networks
56
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Proving this upper bound involving VC dimension

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#probability #statistics #machine-learning
546
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1-D transformation to make data points linearly separable

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#linear-transformations #machine-learning
46
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What is the meaning of "with probability at least 1-x over the drawing of the m training patterns"?

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#statistics #machine-learning
289
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difference between variational inference and gibbs sampler

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#probability #machine-learning #bayesian #sampling #variational-analysis
56
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Prediction distribution of Gaussian process in weight-view space

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#normal-distribution #machine-learning #regression
71
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Difficulty to prove a result from "Pattern Recognition and Machine Learning"

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#probability #normal-distribution #machine-learning
150
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VC-dimension of Hyper-rectangles

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#geometry #discrete-mathematics #machine-learning

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