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How to derive BIC for regularized linear regression model for selecting optimum hyper parameter?

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#statistics #machine-learning
34
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How to write cardinality property of an statistical dataset

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#statistics #notation #machine-learning
79
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Linear Activation Function in Neural Network

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#machine-learning #neural-networks
2.7k
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Cross-Entropy loss in Reinforcement Learning

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#machine-learning
74
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Markov switching model joint distribution

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#markov-chains #machine-learning #markov-process #hidden-markov-models
309
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Kullback Leibler Divergence for Gaussian process

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#probability #probability-theory #numerical-methods #machine-learning #information-theory
79
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Does this function correspond to some inner product?

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#linear-algebra #vector-spaces #inner-products #machine-learning
529
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Deriving diagonal approximation of Hessian in a neural network

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#machine-learning #neural-networks #hessian-matrix
752
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Looking for some geometric intuition for half spaces in $\mathbb{R}^{d}$

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#linear-algebra #inner-products #machine-learning
36
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Machine Learning Paper Probability Proportionality proof

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#probability #machine-learning #bayes-theorem
110
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Is there a nice matrix expression for the gradient of the cross-entropy for multinomial logistic regression?

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#machine-learning #gradient-descent #logistic-regression
281
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What is geometric representation of third norm?

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#euclidean-geometry #normed-spaces #machine-learning
67
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How do I approximately get the maximum vs a minimum in a constraint optimization problem?

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#optimization #nonlinear-optimization #lagrange-multiplier #machine-learning #neural-networks
331
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What does it mean when people say that Gaussian distribution is sensitive to outliers

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#statistics #machine-learning #bayesian
168
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Naive Bayes Algorithm with floating weights or zero weights

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#probability #machine-learning #naive-bayes

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