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

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A Strategy for Making Predictions Under Manipulation

Laura E. Brown, Ioannis Tsamardinos; PMLR 3:35-52

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Feature Ranking Using Linear SVM

Yin-Wen Chang, Chih-Jen Lin; PMLR 3:53-64

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Random Sets Approach and its Applications

Vladimir Nikulin; PMLR 3:65-76

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Bernoulli Mixture Models for Markov Blanket Filtering and Classification

Mehreen Saeed; PMLR 3:77-91

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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

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Causal & Non-Causal Feature Selection for Ridge Regression

Gavin C. Cawley; PMLR 3:107-128

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