Open-Access Datasets for Time Series Causality Discovery Validation
published: Jan. 19, 2010, recorded: December 2009, views: 280
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), we provide a number of resources, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. We regularly organize competitions. Our repository already includes several time dependent datasets from a variety of domains: system biology, neurosciences, physics, manufacturing, and marketing. We will invite new contributions and present our plan for upcoming evaluations of causal models for time series applications.
Download slides: nips09_guyon_oadtscdv_01.pdf (1.8 MB)
Download slides: nips09_guyon_oadtscdv_01.ppt (2.6 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !