AISTATS 2001
7 papers
Causal & Non-Causal Feature Selection for Ridge Regression
Gavin C. Cawley
Partial orientation and local structural learning of causal networks for prediction
Jianxin Yin, You Zhou, Changzhang Wang, Ping He, Cheng Zheng
Random Sets Approach and its Applications
Vladimir Nikulin
Feature Ranking Using Linear SVM
Yin-Wen Chang, Chih-Jen Lin
A Strategy for Making Predictions Under Manipulation
Laura E. Brown, Ioannis Tsamardinos
Design and Analysis of the Causation and Prediction Challenge
Isabelle Guyon, Constantin Aliferis, Greg Cooper, André Elisseeff, Jean-philippe Pellet