Causality Causality Workbench                                                             Challenges in Machine Learning Causality
Filtering by keyword: time.series [X]

PROMO: Simple causal effects in time series

Contact: Jean-Philippe Pellet - Submitted: 2011-01-26 17:59 - Views : 6844

The PROMO dataset proposes the task to identify which promotions affect sales. Artificial data about 1000 promotion variables and 100 product sales is provided. The goal is to predict a 1000x100 boolean influence matrix, indicating for each (i,j)...  [more/question/discuss/rate/edit...]

SIGNET: Abscisic Acid Signaling Network

Contact: Jerry Jenkins - Submitted: 2008-11-25 20:56 - Views : 9844

The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includes 300 separate boolean pseudodynamic simulations of the true rules, using an asynchronous...  [more/question/discuss/rate/edit...]

NOISE: Causal Directions in Noisy Environment

Contact: Guido Nolte - Submitted: 2009-10-05 21:17 - Views : 3839

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...  [more/question/discuss/rate/edit...]

  • Authors: G. Nolte
  • Key facts: Simulated Data: 1000 examples of bivariate time series' for 6000 time points each. Real Data: EEG data of 10 subjects measured at rest with eyes closed....
  • Keywords: Time series, mixed noise, bivariate, EEG