User user1885116

51 votes

3 answers

60k views

Logistic regression vs. LDA as two-class classifiers

asked Apr 25, 2014 at 23:20

36 votes

5 answers

22k views

Expected prediction error - derivation

asked Apr 1, 2014 at 22:34

15 votes

2 answers

5k views

Ridge regression – Bayesian interpretation

asked Apr 27, 2014 at 14:16

14 votes

2 answers

8k views

Optimism bias - estimates of prediction error

asked Mar 5, 2014 at 15:36

12 votes

1 answer

8k views

KL divergence and expectations

asked Dec 17, 2015 at 21:27

7 votes

1 answer

6k views

Conjugate mixture of beta distributions - weights

asked May 31, 2014 at 20:11

7 votes

3 answers

5k views

Logistic regression: maximum likelihood vs misclassification

asked Apr 25, 2014 at 23:28

6 votes

1 answer

1k views

Spline – basis functions

asked Mar 2, 2014 at 21:07

6 votes

1 answer

516 views

When estimating population mean, how can one half of the sample mean have lower risk than the sample mean itself?

asked Feb 6, 2014 at 12:50

6 votes

1 answer

8k views

stacking and blending of regression models

asked Feb 15, 2016 at 23:08

5 votes

1 answer

5k views

increase in number of filters in convolutional neural nets

asked Jan 24, 2016 at 15:51

5 votes

1 answer

631 views

Restricted Boltzmann machines - update rule

asked Dec 15, 2015 at 23:20

5 votes

1 answer

1k views

Restricted Boltzmann machines - Free Energy

asked Dec 17, 2015 at 21:54

4 votes

2 answers

543 views

Statistical method for modelling of disease incidence for NGO

asked May 10, 2014 at 11:16

4 votes

0 answers

314 views

stacking complex models that are prone to overfitting

asked Feb 20, 2016 at 17:29

3 votes

2 answers

88 views

Bayesian updating based on the observed sum of bernouilli variables

asked Nov 16, 2016 at 19:39

3 votes

1 answer

822 views

Bayesian updating of a joint probability distribution based on the likelihood of one variable

asked Nov 18, 2016 at 22:38

3 votes

2 answers

571 views

Degrees of freedom - binary vector

asked Dec 20, 2015 at 19:23

3 votes

2 answers

18k views

Bias and Variance - Errors in R example

asked Feb 23, 2014 at 21:31

2 votes

1 answer

62 views

Cross validation - feature information outside the fold

asked Apr 4, 2014 at 7:44

2 votes

2 answers

810 views

Deep learning - unsupervised vs. supervised shape recognition

asked Dec 18, 2015 at 13:02

2 votes

0 answers

250 views

Samples from the posterior - Markov Chain Monte Carlo

asked Dec 20, 2015 at 19:02

2 votes

1 answer

9k views

CNN filter sizes and padding

asked Jan 25, 2016 at 20:58

1 vote

0 answers

44 views

Mixture of predictions

asked Feb 16, 2016 at 10:25

1 vote

1 answer

370 views

Boltzmann machines - unclamped / negative phase

asked Dec 20, 2015 at 12:06

1 vote

1 answer

282 views

Dispersion measure - probability density function

asked May 20, 2014 at 19:21

Stack Exchange Network

26 Questions

Logistic regression vs. LDA as two-class classifiers

Expected prediction error - derivation

Ridge regression – Bayesian interpretation

Optimism bias - estimates of prediction error

KL divergence and expectations

Conjugate mixture of beta distributions - weights

Logistic regression: maximum likelihood vs misclassification

Spline – basis functions

When estimating population mean, how can one half of the sample mean have lower risk than the sample mean itself?

stacking and blending of regression models

increase in number of filters in convolutional neural nets

Restricted Boltzmann machines - update rule

Restricted Boltzmann machines - Free Energy

Statistical method for modelling of disease incidence for NGO

stacking complex models that are prone to overfitting

Bayesian updating based on the observed sum of bernouilli variables

Bayesian updating of a joint probability distribution based on the likelihood of one variable

Degrees of freedom - binary vector

Bias and Variance - Errors in R example

Cross validation - feature information outside the fold

Deep learning - unsupervised vs. supervised shape recognition

Samples from the posterior - Markov Chain Monte Carlo

CNN filter sizes and padding

Mixture of predictions

Boltzmann machines - unclamped / negative phase

Dispersion measure - probability density function