User a.desantos

4 votes

Accepted

Trajectory Clustering: Which Clustering Method?

answered Sep 16, 2013 at 7:29

4 votes

rpart and the printcp function

answered Feb 10, 2014 at 10:42

3 votes

Open source classification algorithms, preferably in C++

answered Sep 24, 2013 at 7:37

3 votes

k-fold feature selection

answered Sep 19, 2013 at 11:32

2 votes

Interpreting 3D scatter plot

answered Sep 20, 2013 at 7:39

2 votes

First step for big data ($N = 10^{10}$, $p = 2000$)

answered Sep 12, 2013 at 21:07

1 vote

How do I combine two predictors?

answered Sep 12, 2013 at 21:35

1 vote

Accepted

How to deal with features only available for a few instances?

answered Sep 5, 2013 at 9:50

1 vote

How to do feature selection for learning from positive and unlabeled examples?

answered Sep 11, 2013 at 10:51

1 vote

Detect equation from data

answered Sep 23, 2013 at 8:45

1 vote

Handling missing data (holidays) in multiple time series (historical simulation VaR)

answered Sep 19, 2013 at 14:24

1 vote

What is the difference between different kind of cross validation methods?

answered Sep 25, 2013 at 8:30

0 votes

Measuring the smoothness of time series

answered Sep 30, 2013 at 10:47

0 votes

Implementing R Machine Learning Model in Real World

answered Jun 25, 2014 at 14:22

0 votes

Do you have a global vision on those analysis techniques?

answered Sep 16, 2013 at 7:47

0 votes

Classification between most probable classes - what is its proper name?

answered Sep 16, 2013 at 11:28

0 votes

Model averaging in prediction -- "Wisdom of the Crowd"

answered Sep 12, 2013 at 21:43

0 votes

Factor analysis for ordinal variables that have different categories

answered Sep 13, 2013 at 6:53

Stack Exchange Network

18 Answers

Trajectory Clustering: Which Clustering Method?

rpart and the printcp function

Open source classification algorithms, preferably in C++

k-fold feature selection

Interpreting 3D scatter plot

First step for big data ($N = 10^{10}$, $p = 2000$)

How do I combine two predictors?

How to deal with features only available for a few instances?

How to do feature selection for learning from positive and unlabeled examples?

Detect equation from data

Handling missing data (holidays) in multiple time series (historical simulation VaR)

What is the difference between different kind of cross validation methods?

Measuring the smoothness of time series

Implementing R Machine Learning Model in Real World

Do you have a global vision on those analysis techniques?

Classification between most probable classes - what is its proper name?

Model averaging in prediction -- "Wisdom of the Crowd"

Factor analysis for ordinal variables that have different categories