Things to know about Bayesian networks: Decisions under uncertainty, part 2-Reference-Cited by-同舟云学术

Things to know about Bayesian networks: Decisions under uncertainty, part 2

Published:2018-04 Issue:2 Volume:15 Page:19-23
ISSN:1740-9705
Container-title:Significance
language:en
Short-container-title:Significance

Author:

Constantinou Anthony C.¹,Fenton Norman²

Affiliation:

1. Lecturer in machine learning and data mining at Queen Mary University of London.

2. Professor in the School of Electronic Engineering and Computer Science at Queen Mary University of London, where he is also director of the Risk Information Management research group.

Publisher

Wiley

Subject

Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1740-9713.2018.01126.x/fullpdf

Reference4 articles.

1. Towards smart-data: Improving predictive accuracy in long-term football team performance;Constantinou;Knowledge-Based Systems,2017

2. Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved;Constantinou;Expert Systems with Applications,2016

3. Causal reasoning through intervention;Hagmayer,2007

4. From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support;Constantinou;Artificial Intelligence in Medicine,2016

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