Open access peer-reviewed Edited Volume

Bayesian Network

Edited by Ahmed Rebai

Centre of Biotechnology of Sfax, Tunisia

Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts. The range of applications of Bayesian networks currently extends over almost all fields including engineering, biology and medicine, information and communication technologies and finance. This book is a collection of original contributions to the methodology and applications of Bayesian networks. It contains recent developments in the field and illustrates, on a sample of applications, the power of Bayesian networks in dealing the modeling of complex systems. Readers that are not familiar with this tool, but have some technical background, will find in this book all necessary theoretical and practical information on how to use and implement Bayesian networks in their own work. There is no doubt that this book constitutes a valuable resource for engineers, researchers, students and all those who are interested in discovering and experiencing the potential of this major tool of the century.

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Bayesian NetworkEdited by Ahmed Rebai

Published: August 18th 2010

DOI: 10.5772/258

ISBN: 978-953-307-124-4

eBook (PDF) ISBN: 978-953-51-4903-3

Copyright year: 2010

Books open for chapter submissions

65923 Total Chapter Downloads

10 Crossref Citations

24 Web of Science Citations

24 Dimensions Citations


Open access peer-reviewed

1. Learning Structure and Parameters in Bayesian Networks Using an Implicit Framework

By Hanen BenHassen, Lobna Bouchaala, Afif Masmoudi and Ahmed Rebai


Open access peer-reviewed

2. Design of Evolutionary Methods Applied to the Learning of Bayesian Network Structures

By Thierry Brouard, Alain Delaplace, Muhammad Muzzamil Luqman, Hubert Cardot and Jean-Yves Ramel


Open access peer-reviewed

3. Probabilistic Inferences in Bayesian Networks

By Jianguo Ding


Open access peer-reviewed

4. Advanced Algorithms of Bayesian Network Learning and Probabilistic Inference from Inconsistent Prior Knowledge and Sparse Data with Applications in Computational Biology and Computer Vision

By Rui Chang


Open access peer-reviewed

5. Group Decision Making Using Bayesian Network Inference with Qualitative Expert Knowledge

By Wichian Premchaiswadi and Nipat Jongsawat


Open access peer-reviewed

6. Forming Object Concept Using Bayesian Network

By Tomoaki Nakamura and Takayuki Nagai


Open access peer-reviewed

7. Guiding Complex Design Optimisation Using Bayesian Networks

By John Leaney and Artem Parakhine


Open access peer-reviewed

8. Method of Multi-Source Testing Information Fusion Based on Bayesian Network

By Tang Xue-mei and Hu Zheng-dong


Open access peer-reviewed

9. Dynamic Data Feed to Bayesian Network Model and SMILE Web Application

By Nipat Jongsawat, Anunucha Tungkasthan and Wichian Premchaiswadi


Open access peer-reviewed

10. Markovian Approach to Time Transition Inference on Bayesian Networks

By Adamo Santana, Diego Cardoso, Carlos Renato Frances, and João Costa


Open access peer-reviewed

11. MiniTUBA: a Web-Based Dynamic Bayesian Network Analysis System

By Yongqun He and Zuoshuang Xiang


Open access peer-reviewed

12. Joining Analytic Network Process and Bayesian Network Model for Fault Spreading Problem

By Gabor Szucs and Gyula Sallai


Open access peer-reviewed

13. Monitoring of Complex Processes with Bayesian Networks

By Sylvain Verron, Teodor Tiplica and Abdessamad Kobi


Open access peer-reviewed

14. Bayesian Networks for Network Intrusion Detection

By Pablo Garcia Bringas and Igor Santos Grueiro


Open access peer-reviewed

15. A Novel Probabilistic Approach for Analysis and Planning of Large Capillarity Broadband Networks Based on ADSL2+ Technology

By Diego Cardoso, Adamo Santana, Claudio Rocha and Carlos Renato Frances


Open access peer-reviewed

16. Optimization Strategies for Improving the Interpretability of Bayesian Networks: an Application in Power Systems

By Claudio Rocha, Diego Cardoso, Adamo Santana and Carlos Renato Frances


Open access peer-reviewed

17. Strategy for Wireless Local Area Networks Planning and Performance Evaluation through Bayesian Networks as Computational Intelligence Approach

By Jasmine Araujo, Josiane Rodrigues, Simone Fraiha, Herminio Gomes, Gervásio Cavalcante and Carlos Renato Frances


Open access peer-reviewed

18. Causal Modelling Based on Bayesian Networks for Preliminary Design of Buildings

By Berardo Naticchia and Alessandro Carbonari


Open access peer-reviewed

19. Bayesian Networks Methods for Traffic Flow Prediction

By Enrique Castillo, Santos Sanchez-Cambronero and Jose Maria Menendez


Open access peer-reviewed

20. Accommodating Uncertainty in Rangeland Condition Assessment Using Bayesian Belief Networks

By Hossein Bashari and Carl Smith


Open access peer-reviewed

21. Classification of Categorical and Numerical Data on Selected Subset of Features

By Zaher Al Aghbari


Open access peer-reviewed

22. Learning Self-Similarities for Action Recognition Using Conditional Random Fields

By Imran Junejo


Open access peer-reviewed

23. Probabilistic Modelling and Recursive Bayesian Estimation of Trust in Wireless Sensor Networks

By Mohammad Momani and Subhash Challa


Open access peer-reviewed

24. Time-Frequency analysis using Bayesian Regularized Neural Network Model

By Imran Shafi, Jamil Ahmad, Syed Ismail Shah and Ataul Aziz Ikram


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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