hirschme
  • Member for 6 years, 1 month
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1 answers
15 votes
11k views
11 bookmarks
What is the essential difference between a neural network and nonlinear regression?
0 answers
6 votes
178 views
Including feature-dependent priors on output class, in bayesian logistic regression
1 answers
5 votes
8k views
1 bookmarks
ANOVA vs pairwise t-tests with multiple test correction
3 answers
5 votes
4k views
How to choose a constant for reject sampling
0 answers
4 votes
28 views
Initial jump in validation loss, how to explain?
0 answers
4 votes
926 views
1 bookmarks
Regularized Linear Regression with specific parameter constraints in R
0 answers
3 votes
905 views
In image segmentation, is Dice score usually reported as an average between classes?
1 answers
3 votes
919 views
Under which circumstances does increasing the number of parameters increase the training loss?
0 answers
3 votes
810 views
Evaluation of a ternary classifier
2 answers
3 votes
264 views
1 bookmarks
Understanding Monte Carlo sampling
1 answers
2 votes
232 views
Bad performance on training set and increasing validation loss: Overfitting or underfitting?
0 answers
2 votes
303 views
Do we need to normalize inputs when using adaptive learning rate optimizers?
1 answers
1 votes
285 views
How to calculate a p-vale from the t-distribution for a two-tailed t-test?
0 answers
1 votes
36 views
1 bookmarks
What is the rationale for assuming that prediction values of a classifier are normally distributed per class?
1 answers
1 votes
4k views
How are inputs to Inception v3 pre-processed?
0 answers
1 votes
35 views
To remove neural-network units or to increase drop-out?
0 answers
1 votes
193 views
How to apply dropout in LSTMs?
0 answers
1 votes
94 views
Bayesian framework for artificial neural networks in classification?
0 answers
1 votes
208 views
2 bookmarks
Is using sum of squared errors analogous to assuming underlying Gaussian noise/
0 answers
1 votes
308 views
2 bookmarks
any publications using power analysis on deep learning projects?
1 answers
1 votes
2k views
Relation linear regression and ARMA models
1 answers
1 votes
1k views
1 bookmarks
Seasonal and autocorrelated regression residuals: difference raw data or residuals?
0 answers
1 votes
408 views
1 bookmarks
Difference in the error covariance matrix for correlated and autocorrelated errors
1 answers
0 votes
62 views
In the equivalence test (TOST procedure), why is the null hypothesis the presence of a real effect?
2 answers
0 votes
44 views
Correct way of getting generalizaton performance of a model using the whole dataset
1 answers
0 votes
2k views
Is this a sign of (bad) local minima encountered by this RNN?
1 answers
0 votes
34 views
Implications of training a deep network on batches using different sampling methods
2 answers
0 votes
2k views
1 bookmarks
Is accuracy a reliable evaluation metric for training a classification model?
0 answers
0 votes
136 views
How to apply Poisson noise to a deterministic function
1 answers
0 votes
119 views
Alternative ways of coding the same output in neural networks?