Volume 3, December 2008 Causation and Prediction Challenge at WCCI 2008
June 1-6, 2008, Hong Kong
Last update Sat May 18 20:42:35 2013
CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page
- Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Design and Analysis of the Causation and Prediction Challenge.
- Laura E. Brown, Ioannis Tsamardinos:
A Strategy for Making Predictions Under Manipulation.
- Yin-Wen Chang, Chih-Jen Lin:
Feature Ranking Using Linear SVM.
- Vladimir Nikulin:
Random Sets Approach and its Applications.
- Mehreen Saeed:
Bernoulli Mixture Models for Markov Blanket Filtering and Classification.
- Jianxin Yin, You Zhou, Changzhang Wang, Ping He, Cheng Zheng, Zhi Geng:
Partial orientation and local structural learning of causal networks for prediction.
- Gavin C. Cawley:
Causal and Non-Causal Feature Selection for Ridge Regression.