Cause Effect Pairs in Machine Learning

by GUYON

Book Overview

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...

• Format: Paperback
• Language: English
• ISBN: 3030218120
• ISBN13: 9783030218126
• Release Date: November 2020
• Publisher: Springer
• Length: 372 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"