- Design and Analysis of the Causation and Prediction Challenge
- Isabelle Guyon, Constantin Aliferis, Greg Cooper, André
Elisseeff, Jean-Philippe Pellet, Peter Spirtes, and Alexander Statnikov;
3:1-33, 2008.
[abs] [pdf]
|
- A Strategy for Making Predictions Under Manipulation
- Laura E. Brown and Ioannis Tsamardinos; 3:35-52,
2008.
[abs] [pdf]
|
- Feature Ranking Using Linear SVM
- Yin-Wen Chang and Chih-Jen Lin; 3:53-64, 2008.
[abs] [pdf]
|
- Random Sets Approach and its Applications
- Vladimir Nikulin; 3:65-76, 2008.
[abs] [pdf]
|
- Bernoulli Mixture Models for Markov Blanket Filtering and Classification
- Mehreen Saeed; 3:77:91, 2008.
[abs] [pdf]
|
- Partial orientation and local structural learning of causal networks
for prediction
- Jianxin Yin, You Zhou, Changzhang Wang, Ping He, Cheng Zheng,
and Zhi Geng; 3:93-105, 2008.
[abs] [pdf]
|
- Causal and Non-Causal Feature Selection for Ridge Regression
- Gavin C. Cawley; 3:107-128, 2009.
[abs] [pdf]
|
