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Active 8 Featured Hot Week Month

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0

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4

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Machine learning error rates

machine-learning

asked 1 hour ago Reuben Newton Addison 1

2

votes

2

answers

160

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K fold cross validation - final training against all data. Stopping criteria

machine-learning cross-validation

answered 1 hour ago Mey 1

7

votes

1

answer

61

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Do Stochastic Processes such as the Gaussian Process/Dirichlet Process have densities? If not, how can Bayes rule be applied to them?

machine-learning probability bayesian nonparametric

answered 1 hour ago Yves 2,774

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0

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17

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I don't understand steps 2 and 3 of this k-mean++ algorithm

machine-learning k-means

modified 3 hours ago Lucas Farias 663

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0

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7

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Redefining latent variables as observed data

machine-learning bayesian likelihood posterior gaussian-mixture

asked 4 hours ago SandraK 25

10

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5

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6k

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Why f beta score define beta like that?

machine-learning precision-recall model-evaluation

answered 4 hours ago Mohit Sharma 1

6

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2

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664

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Deriving Multiplicative Update Rules for NMF

machine-learning mathematical-statistics unsupervised-learning matrix-decomposition nnmf

modified 4 hours ago ngrz 3

0

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1

answer

10

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Extracting correlated data

machine-learning

answered 5 hours ago mommermi 113

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1

answer

10

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Stacked shallow autoencoders vs. deep autoencoders

machine-learning deep-learning autoencoders artificial-intelligence

modified 6 hours ago Wayne 16.2k

1

vote

1

answer

220

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Methods for unsupervised subset selection on categorical data

machine-learning categorical-data feature-selection unsupervised-learning

modified 6 hours ago Community♦ 1

0

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1

answer

22

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Problem with the word 'machine' in the definition of machine learning by Mitchell in the book “Machine Learning”

machine-learning artificial-intelligence

answered 7 hours ago Amin Sammara 48

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0

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11

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Incorrect practice of data preprocessing

machine-learning data-transformation data-preprocessing

asked 8 hours ago SiXUlm 159

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0

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15

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How to derive the maximum a posteriori estimate when the prior distribution is Normal $N(m,r^2)$?

machine-learning probability normal-distribution maximum-likelihood posterior

modified 9 hours ago whuber♦ 204k

0

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0

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25

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Mathematically, what are the drawbacks of R-squared in evaluation a regression model?

regression machine-learning standard-error r-squared

asked 9 hours ago RockTheStar 3,853

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