[edit]
Volume 3: Causation and Prediction Challenge, 3-4 June 2008, Hong Kong
[edit]
Editors: Isabelle Guyon, Constantin Aliferis, Greg Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander Statnikov
[bib][citeproc]
Design and Analysis of the Causation and Prediction Challenge
Isabelle Guyon, Constantin Aliferis, Greg Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander Statnikov;
PMLR 3:1-33
[abs][Download PDF]
A Strategy for Making Predictions Under Manipulation
Laura E. Brown, Ioannis Tsamardinos;
PMLR 3:35-52
[abs][Download PDF]
Feature Ranking Using Linear SVM
Yin-Wen Chang, Chih-Jen Lin;
PMLR 3:53-64
[abs][Download PDF]
Random Sets Approach and its Applications
Vladimir Nikulin;
PMLR 3:65-76
[abs][Download PDF]
Bernoulli Mixture Models for Markov Blanket Filtering and Classification
Mehreen Saeed;
PMLR 3:77-91
[abs][Download PDF]
Partial orientation and local structural learning of causal networks for prediction
Jianxin Yin, You Zhou, Changzhang Wang, Ping He, Cheng Zheng, Zhi Geng;
PMLR 3:93-105
[abs][Download PDF]
Causal & Non-Causal Feature Selection for Ridge Regression
Gavin C. Cawley;
PMLR 3:107-128
[abs][Download PDF]