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Cause Effect Pairs in Machine Learning
Engelsk Paperback
Cause Effect Pairs in Machine Learning
Engelsk Paperback

907 kr
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Om denne bog
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 "causal mechanism", in the sense that the values of one variable may have been generated from the values of the other.  

This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website.

Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.


Product detaljer
Sprog:
Engelsk
Sider:
372
ISBN-13:
9783030218126
Indbinding:
Paperback
Udgave:
ISBN-10:
3030218120
Kategori:
Udg. Dato:
5 nov 2020
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
5 nov 2020
Forfatter(e):
Kategori sammenhænge