User Pavel Komarov

53 votes

Can machine learning decode the SHA256 hashes?

answered Sep 10, 2018 at 21:42

9 votes

Accepted

Boosting using other "weak learners" than trees

answered Aug 17, 2017 at 20:08

9 votes

Neural network for multiple output regression

answered Sep 27, 2017 at 16:40

5 votes

Accepted

How to handle dependent, multidimensional output in machine learning

answered Sep 15, 2017 at 19:02

4 votes

Accepted

Derivation of AdaBoost.R2 algorithm

answered Aug 22, 2017 at 20:33

3 votes

Accepted

Why are covariance matrices projected by both right and left multiply?

answered Nov 26, 2020 at 7:29

2 votes

Accepted

How does Dempster-Shafer relate to Machine Learning?

answered Sep 13, 2018 at 21:34

1 vote

Random forest permutation test: Is permutation of the training set appropriate?

answered Jan 8, 2019 at 17:38

1 vote

Overfitting in Cross Validation for Hyperparameter Selection

answered May 10, 2018 at 22:49

1 vote

Is a forward-pass on a neural network a similar operation to a predict operation?

answered May 10, 2018 at 23:29

1 vote

How do we use the test set after model selection?

answered Sep 1, 2017 at 15:38

1 vote

Time series data transformation; how to deal with sharp drops?

answered Nov 14, 2017 at 18:37

1 vote

Accepted

How to derive Camera Jacobian

answered Nov 21, 2020 at 3:21

0 votes

Why experience replay requires off-policy algorithm?

answered Sep 22, 2023 at 0:34

0 votes

Fitting a Multiple linear regression model to a set of data which was generated by a non-linear function plus an error term(normally distributed)

answered Nov 14, 2017 at 19:39

0 votes

Training a binary classifier (xgboost) using probabilities instead of just 0 and 1 (versus training a multi class classifier or using regression)

answered Feb 13, 2018 at 22:41

0 votes

Accepted

How can I reduce this problem to classification?

answered Sep 18, 2017 at 20:29

0 votes

How should I compare a single real world value to a group of simulated observations

answered Sep 12, 2018 at 14:02

0 votes

Is there any Generative Model which can be used for Regression problems?

answered Feb 19, 2020 at 16:55

0 votes

Accepted

Can pieces of evidence that arise from different aspects of the same phenomenon be independent?

answered May 12, 2020 at 20:01

0 votes

Accepted

Counterintuitive mass versus probability in Dempster-Shafer

answered Sep 14, 2018 at 17:00

0 votes

Is there any problem which can be solved only by fuzzy theory but not by statistics?

answered Sep 24, 2018 at 19:25

Stack Exchange Network

22 Answers

Can machine learning decode the SHA256 hashes?

Boosting using other "weak learners" than trees

Neural network for multiple output regression

How to handle dependent, multidimensional output in machine learning

Derivation of AdaBoost.R2 algorithm

Why are covariance matrices projected by both right and left multiply?

How does Dempster-Shafer relate to Machine Learning?

Random forest permutation test: Is permutation of the training set appropriate?

Overfitting in Cross Validation for Hyperparameter Selection

Is a forward-pass on a neural network a similar operation to a predict operation?

How do we use the test set after model selection?

Time series data transformation; how to deal with sharp drops?

How to derive Camera Jacobian

Why experience replay requires off-policy algorithm?

Fitting a Multiple linear regression model to a set of data which was generated by a non-linear function plus an error term(normally distributed)

Training a binary classifier (xgboost) using probabilities instead of just 0 and 1 (versus training a multi class classifier or using regression)

How can I reduce this problem to classification?

How should I compare a single real world value to a group of simulated observations

Is there any Generative Model which can be used for Regression problems?

Can pieces of evidence that arise from different aspects of the same phenomenon be independent?

Counterintuitive mass versus probability in Dempster-Shafer

Is there any problem which can be solved only by fuzzy theory but not by statistics?