Causality Causality Workbench                                                             Challenges in Machine Learning Causality
[Back to list]


Causal Directions in Noisy Environment

Contact: Guido Nolte - Submitted: 2009-10-05 21:17 - Views : 4150 - [Edit entry]


This challenge has two parts, a simulation and real data.

Simulation: Data are simulated as superposition of bivariate
unidirectional interaction plus additive mixed and non-white noise.
The simulations were done with AR-models with uniformly distributed
input. The challenge is to estimate the causal direction. For each out
of 1000 examples you get +1 point for the correct answer, -10 points
for the wrong answer, and 0 points for no answer.

Real Data: These are high quality EEG data for 10 subjects
for 19 channels. The data contain a prominent peak at around 10 Hz
predominantly in occipital (back) channels.
No ground truth is known.
A submission must be a single 19x19 matrix
corresponding to a causality estimate between all pairs of channels
averaged across subjects. Any submission will be visualized
and, with the agreement of the authors, put on the net for
an open discussion.

Comments / Questions / Answers

None yet.

Your comment / question:

You must be registered in order to post comments/questions.
Password: Forgot your password ?
Rate the dataset: No rating    0 1 2 3 4 5   (Only counts once, will update if changed)
Receive e-mail when new posts are made