Több mint 4 millió cím angol és más nyelveken! Fedezd fel új történetedet még ma!

Cause Effect Pairs in Machine Learning

Name: Cause Effect Pairs in Machine Learning
Brand: Springer Nature Switzerland AG
SKU: 9783030218126
Price: 37864 HUF
Availability: InStock

Szerző: Berna Bakir Batu, Alexander Statnikov

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

37 864 Ft

This book presents ground-breaking advances in the domain of causal structure learning. The problem...

Információk a könyvről

Szerző

Berna Bakir Batu, Alexander Statnikov

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2020

oldal

388

EAN

9783030218126

ISBN

3030218120

Enbook ID

33377234

Kiadó

Springer Nature Switzerland AG

Súly

587

Méretek

155 x 235 x 21

Teljes leírás

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.