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Conditioning multivariate Gaussian on a function of coordinates

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#statistics #probability-distributions #normal-distribution #statistical-inference #machine-learning
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What does it mean to "marginalise out" something?

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#statistics #markov-chains #machine-learning
41
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Estimating required data in Gaussian Process regression

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#regression #machine-learning
135
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machine learning algorithm for e-mail classification

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#statistics #machine-learning
130
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SVM algorithm for machine learning. Algebra in which it was constructed and description?

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#machine-learning
121
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Estimator for linear regression where data points have different variances

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#linear-algebra #regression #machine-learning
260
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Contour skewing in linear regression cost function for two features

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#linear-algebra #machine-learning
103
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Machine Learning. Can Neural Network software model continious phenomena?

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#machine-learning #neural-networks
56
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Estimators in the case of refression with normally distributed errors

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#probability #statistics #random-variables #machine-learning #least-squares
167
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Equivalent formulation of linear discrimination problem on Boyd convex optimization slides

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#optimization #convex-analysis #convex-optimization #machine-learning
92
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Implicit feature space of Power Kernel

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#hilbert-spaces #machine-learning #artificial-intelligence
166
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Combining two Gaussian posterior distributions from different data to refine estimated distribution.

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#statistical-inference #machine-learning #bayesian #bayes-theorem
333
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Integral of product of $h_{x_{i}}(x)$ and $h_{x_{j}}(x)$, where $h_{c}(x) = \min(c,x)'$

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#integration #machine-learning
257
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Is normalized RBF always better than RBF

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#matrices #machine-learning #pseudoinverse #artificial-intelligence #radial-basis-functions
12.3k
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How does one choose the step size for steepest descent?

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#optimization #numerical-methods #nonlinear-optimization #machine-learning #numerical-optimization

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