"The Hugin Tool for Learning Bayesian Networks"

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Book	Author(s)	Year	Publisher
Learning Bayesian networks /	Neapolitan, Richard E.	[2004], ©2004.	Pearson Prentice Hall,
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Approximation Methods for Efficient Learning of Bayesian Networks	C. Riggelsen, C. Riggelsen	2008	IOS Press
Bayesian Networks for Reliability Engineering	Baoping Cai; Yonghong Liu; Zengkai Liu; Yuanjiang Chang; Lei Jiang	1st ed. 2020	Springer Nature Singapore
A tool for learning	Maurice Rubens	1989	Direct Experience
Bayesian Networks - An Introduction	Timo Koski	2009	John Wiley & Sons
Advances in Bayesian Networks	José A. Gámez; Serafin Moral; Antonio Salmerón Cerdan	2004	Springer Berlin Heidelberg
Bayesian Networks [expert systems]	W. Premchaiswaid	2012	Intech
HyperCard: a tool for learning	Sandra V. Turner	1994	Wadsworth Pub. Co.
Reading, a tool for learning /	Smith, Nila Banton,	[1938], [©1938]	Association for childhood education,
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods	Nikolay Nikolaev; Hitoshi Iba	2006	Springer US
Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks	Robert G. Cowell; A. Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter	1999	Springer New York
Bayesian Networks and Decision Graphs	Thomas Dyhre Nielsen; FINN VERNER JENSEN	2001	Springer New York
Bayesian Networks and Decision Graphs	Thomas Dyhre Nielsen; FINN VERNER JENSEN	2nd ed. 2007	Springer New York
Bayesian Networks in Educational Assessment	Russell G. Almond; Robert J. Mislevy; Linda S. Steinberg; Duanli Yan; David M. Williamson	2015	Springer New York
An introduction to Bayesian networks /	Jensen, Finn V.	[1996], ©1996.	Springer,
Variational Bayesian Learning Theory	Shinichi Nakajima; Kazuho Watanabe; Masashi Sugiyama	2019-07	Cambridge University Press
Modeling and Reasoning with Bayesian Networks	Adnan Darwiche	2009-04	Cambridge University Press
Bayesian Networks: With Examples in R	Marco Scutari; Jean-Baptiste Denis	2021	Routledge
The ASTD Media Selection Tool for Workplace Learning	Raymond J. Marx; Karen Hudson-Samuels	May 26, 1999	American Society for Training & Development
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
The Hugin Tool for Learning Bayesian Networks	Anders L. Madsen; Michael Lang; Uffe B. Kjærulff; Frank Jensen	Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings	Thomas D. Nielsen; Nevin L. Zhang	2003	Springer Berlin Heidelberg
A Tool for Learning Dynamic Bayesian Networks for Forecasting	Pablo H. Ibargüengoytia; Alberto Reyes; Inés Romero; David Pech; Uriel A. García; Mónica Borunda	Advances in Artificial Intelligence and Its Applications: 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part II	Obdulia Pichardo Lagunas; Oscar Herrera Alcántara; Gustavo Arroyo Figueroa	1st ed. 2015	Springer International Publishing
Learning Bayesian Networks	Enrique Castillo; José Manuel Gutiérrez; Ali S. Hadi	Expert Systems and Probabilistic Network Models	Enrique Castillo; Jose M. Gutierrez; Ali S. Hadi	1997	Springer New York
Learning Bayesian Networks		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Bayesian Networks: Learning	Luis Enrique Sucar	Probabilistic Graphical Models: Principles and Applications	Luis Enrique Sucar	2015	Springer London
Learning Bayesian Networks		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Learning Bayesian Networks	Richard E. Neapolitan; Xia Jiang	Probabilistic Methods for Financial and Marketing Informatics	Richard E. Neapolitan and Xia Jiang	2007	Morgan Kaufmann
Learning Bayesian Networks		Encyclopedia of Data Warehousing and Mining	John Wang, John Wang	2008	MIX
Bayesian Networks: Learning	Luis Enrique Sucar	Probabilistic Graphical Models: Principles and Applications	Luis Enrique Sucar	2nd ed. 2021	Springer International Publishing
Transfer Learning for Bayesian Networks	Roger Luis; L. Enrique Sucar; Eduardo F. Morales	Advances in Artificial Intelligence - IBERAMIA 2008: 11th Ibero-American Conference on AI, Lisbon, Portugal, October 14-17, 2008. Proceedings	Hector Geffner; Rui Prada; Isabel Machado Alexandre; Nuno David	2008	Springer Berlin Heidelberg
Learning dynamic Bayesian networks	Zoubin Ghahramani	Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks, " E. R. Caianiello" , Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures	C. Lee Giles; Marco Gori	1998	Springer Berlin Heidelberg
Learning With Bayesian Networks	David Heckerman	Machine Learning Proceedings 1995	Armand Prieditis and Stuart J. Russell	1995	Morgan Kaufmann
Learning Bayesian Networks for Student Modeling	Eva Millán; Guiomar Jiménez; María-Victoria Belmonte; José-Luis Pérez-de-la-Cruz	Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings	Cristina Conati; Neil Heffernan; Antonija Mitrovic; M. Felisa Verdejo	2015	Springer International Publishing
Bayesian Learning for Cognitive Radio Networks	XIN-LIN HUANG AND JUN WU	Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments	Fei Hu; Sunil Kumar	2014	Routledge
Bayesian Networks for		Handbook of research on computational methodologies in gene regulatory networks	Sanjoy Das, Doina Caragea, Stephen M. Welch, William H. Hsu, Sanjoy Das, Doina Caragea, Stephen M. Welch, William H. Hsu	2009	Medical Information Science Reference
Learning Gene Networks with Bayesian Networks	Golan Yona	Introduction to Computational Proteomics	Golan Yona	2010	Routledge
Hugin		Bayesian Artificial Intelligence (Chapman & Hall Crc Computer Science and Data Analysis)	Kevin B. Korb Ann E. Nicholson	2004	Chapman & Hall\/CRC
352 Bayesian Confidence Tool for Sigma-Pi Networks		Adaptive Control Approach for Software Quality Improvement (Series on Software Engineering & Knowledge Engineering)	W. Eric Wong	2011	World Scientific Publishing Company
Sequential Bayesian Learning for Modular Neural Networks	Pan Wang; Zhun Fan; Youfeng Li; Shan Feng	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Bayesian Networks Learning for Gene Expression Datasets	Giacomo Gamberoni; Evelina Lamma; Fabrizio Riguzzi; Sergio Storari; Stefano Volinia	Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings	A. Fazel Famili; Joost N. Kok; José M. Pena; Arno Siebes; Ad Feelders	2005	Springer Berlin Heidelberg
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