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Brazil

Bruno Hebling Vieira -

BSc in Medical Physics from the University of São Paulo (USP);
MSc in Physics Applied to Medicine and Biology from the University of São Paulo (USP).

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Why Beta/Dirichlet Regression are not considered Generalized Linear Models?

generalized-linear-model beta-regression dirichlet-regression asked Sep 22, 2017 at 19:13

stats.stackexchange.com

31 votes

How does a Relevance Vector Machine (RVM) work?

regression machine-learning classification svm asked Sep 28, 2016 at 13:55

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30 votes

What's the formula for the Benjamini-Hochberg adjusted p-value?

hypothesis-testing p-value multiple-comparisons false-discovery-rate asked Oct 4, 2016 at 20:31

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27 votes

t-SNE versus MDS

data-visualization dimensionality-reduction multidimensional-scaling tsne asked Jul 12, 2016 at 21:33

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27 votes

Bridge penalty vs. Elastic Net regularization

regression lasso regularization ridge-regression elastic-net asked Jul 19, 2016 at 14:33

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26 votes

What are the practical uses of Neural ODEs?

machine-learning neural-networks backpropagation differential-equations neural-odes asked Jan 20, 2020 at 3:27

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21 votes

What is an Artificial Neural Network?

machine-learning neural-networks deep-learning unsupervised-learning supervised-learning asked Aug 16, 2018 at 0:41

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18 votes

How can I resume an interrupted Firefox download?

firefox download asked Jul 20, 2016 at 12:39

superuser.com

9 votes

Is there evidence for the use of the solenarion in late Medieval Ethiopia?

military middle-ages warfare africa ethiopia asked Jan 6, 2017 at 2:33

history.stackexchange.com

8 votes

Understanding the different formulations for SVM

classification svm statistical-learning asked Jun 19, 2015 at 20:57

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Top Answers

101

Negation of %in% in R

stackoverflow.com

40,000 neuroscience papers might be wrong

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Practical hyperparameter optimization: Random vs. grid search

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Calculating PCA variance explained

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Does random forest need input variables to be scaled or centered?

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hinge loss vs logistic loss advantages and disadvantages/limitations

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What's considered a good log loss?

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How to determine the accuracy of regression? Which measure should be used?

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How does `predict.randomForest` estimate class probabilities?

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Perform Fourier Analysis to a Time Series in R

stackoverflow.com

How can I resume an interrupted Firefox download?

superuser.com

How to obtain optimal hyperparameters after nested cross validation?

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What important ideas came since Nelder and McCullagh's book Generalized Linear Models (a 40 year old book)?

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Random forest regression not predicting higher than training data

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Is Gradient Descent possible for kernelized SVMs (if so, why do people use Quadratic Programming)?

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R multiple conditions in if statement

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Why isn't variance defined as the difference between every value following each other?

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Is there any classification algorithm that doesn't give probability?

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T-test paradox: can adding a single point very far from the null value change the outcome from significant to nonsignificant?

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Why does regularization wreck orthogonality of predictions and residuals in linear regression?

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Modern machine learning and the bias-variance trade-off

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How should I transform non-negative data including zeros?

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Meaning of Epsilon in SVM regression

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When would you use PCA rather than LDA in classification?

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Accuracy vs. area under the ROC curve

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How can I better understand this covariance equation?

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What does the "machine" in "support vector machine" and "restricted Boltzmann machine" mean?

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Supervised learning with uncertain data?

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Classification with ordered classes?

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What does it mean if I have a high F-stat but low $R^2$?

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