Bayesian Networks

Bayesian Networks in R: with Applications in Systems Biology  eBooks & eLearning

Posted by AvaxGenius at Jan. 30, 2022
Bayesian Networks in R: with Applications in Systems Biology

Bayesian Networks in R: with Applications in Systems Biology by Radhakrishnan Nagarajan
English | PDF | 2013 | 168 Pages | ISBN : 1461464455 | 2.1 MB

Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters with exercises and solutions for enhanced understanding and hands-on experimentation of key concepts. Applications focus on systems biology with emphasis on modeling pathways and signaling mechanisms from high throughput molecular data.

Approximation Methods for Efficient Learning of Bayesian Networks [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 19, 2015
Approximation Methods for Efficient Learning of Bayesian Networks [Repost]

C. Riggelsen - Approximation Methods for Efficient Learning of Bayesian Networks
Published: 2008-01-15 | ISBN: 1586038214 | PDF | 148 pages | 1.27 MB

Approximation Methods for Efficient Learning of Bayesian Networks (repost)  eBooks & eLearning

Posted by libr at Aug. 24, 2012
Approximation Methods for Efficient Learning of Bayesian Networks (repost)

Carsten Riggelsen - Approximation Methods for Efficient Learning of Bayesian Networks
English | 2008-01-15 | ISBN: 1586038214 | PDF | 148 pages | 1.27 MB

This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible, albeit non-Bayesian. Topics discussed are; basic concepts about probabilities, graph theory and conditional independence; Bayesian network learning from data; Monte Carlo simulation techniques; and the concept of incomplete data.

Approximation Methods for Efficient Learning of Bayesian Networks  eBooks & eLearning

Posted by DZ123 at Feb. 21, 2019
Approximation Methods for Efficient Learning of Bayesian Networks

C. Riggelsen, "Approximation Methods for Efficient Learning of Bayesian Networks: Volume 168 Frontiers in Artificial Intelligence and Applications"
English | 2008 | ISBN: 1586038214 | PDF | pages: 148 | 1.3 mb

Bayesian Networks: With Examples in R, 2nd Edition  eBooks & eLearning

Posted by hill0 at Aug. 10, 2023
Bayesian Networks: With Examples in R, 2nd Edition

Bayesian Networks: With Examples in R
English | 2022 | ISBN: 0367366517 | 252 Pages | EPUB | 14 MB
Development of Clinical Decision Support Systems using Bayesian Networks: With an example of a Multi-Disciplinary Treatm

Mario A. Cypko, "Development of Clinical Decision Support Systems using Bayesian Networks: With an example of a Multi-Disciplinary Treatm"
English | ISBN: 3658325933 | 2020 | 148 pages | PDF | 6 MB

Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers  eBooks & eLearning

Posted by step778 at June 2, 2023
Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers

Stefan Conrady, Lionel Jouffe, "Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers"
English | 2015 | pages: 383 | ISBN: 0996533303 | PDF | 19,3 mb

Advances in Bayesian Networks (Studies in Fuzziness and Soft Computing)  eBooks & eLearning

Posted by AlenMiler at Aug. 25, 2015
Advances in Bayesian Networks (Studies in Fuzziness and Soft Computing)

Advances in Bayesian Networks (Studies in Fuzziness and Soft Computing) by José A. Gámez
English | 15 Dec. 2010 | ISBN: 364205885X, 3540208763 | 344 Pages | PDF | 12.75 MB

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics.

Bayesian Networks: With Examples in R, 2nd Edition  eBooks & eLearning

Posted by hill0 at Sept. 15, 2021
Bayesian Networks: With Examples in R, 2nd Edition

Bayesian Networks: With Examples in R
English | 2022 | ISBN: 0367366517 | 252 Pages | PDF | 19 MB

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis  eBooks & eLearning

Posted by tika12 at Dec. 31, 2007
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjaerulff , Anders L. Madsen, "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis"
Springer; 1 edition (December 18, 2007) | ISBN:0387741003 | 336 pages | PDF | 1,6 Mb