Skip to main content alibris logo
Cause Effect Pairs in Machine Learning - Guyon, Isabelle (Editor), and Statnikov, Alexander (Editor), and Batu, Berna Bakir (Editor)
Filter Results
Shipping
Item Condition
Seller Rating
Other Options
Change Currency

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect ("Does altitude cause a change in atmospheric pressure, or vice versa?") is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge , this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a ...

loading
Cause Effect Pairs in Machine Learning 2020, Springer, Cham

ISBN-13: 9783030218126

2019 edition

Trade paperback

Cause Effect Pairs in Machine Learning 2019, Springer, Cham

ISBN-13: 9783030218096

2019 edition

Hardcover