Innovations in Bayesian Networks

An Introduction to Bayesian Networks and Their Contemporary Applications Daryle Niedermayer, I.S.P.* College of the North Atlantic-Qatar, Doha, Qatar Abstract. Bayesian Networks are an important area of research and application within ...

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Author: Dawn E. Holmes

Publisher: Springer Science & Business Media

ISBN: 9783540850656

Category: Mathematics

Page: 324

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Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.

Artificial Intelligence in Theory and Practice III

References 1. Niedermeyer, D.: An Introduction to Bayesian Networks and Their Contemporary Applicationsm. In: Holmes, D., Jain, L. (eds.) Innovations in Bayesian Networks. SCI, vol. 156, pp. 117–130 (2008) 2.

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Author: Max Bramer

Publisher: Springer Science & Business Media

ISBN: 9783642152856

Category: Computers

Page: 253

View: 261

The papers in this volume comprise the refereed proceedings of the conference Arti- cial Intelligence in Theory and Practice (IFIP AI 2010), which formed part of the 21st World Computer Congress of IFIP, the International Federation for Information Pr- essing (WCC-2010), in Brisbane, Australia in September 2010. The conference was organized by the IFIP Technical Committee on Artificial Int- ligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. - nal decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Central Greece, Lamia, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. I should like to thank the Conference Chair, Tharam Dillon, for all his efforts and the members of our Program Committee for reviewing papers under a very tight de- line.

Innovative Approaches in Agent Based Modelling and Business Intelligence

Signal Process 81:1849–1864 Friedman N, Geiger D, Goldszmidt M (1997) Bayesian network classifiers. In: Provan G, Langley P, Smyth P (eds) Machine learning. Kluwer, Boston Friedman N, Nachman I, Pe'er D (1999) Learning Bayesian network ...

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Author: Setsuya Kurahashi

Publisher: Springer

ISBN: 9789811318498

Category: Political Science

Page: 284

View: 380

This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.

The Second Text REtrieval Conference TREC 2

The primary technical innovation of Bayesian networks is the representation , through the network's structure , of conditional independence relations between the variables in a network . This innovation not only provides an intuitive ...

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Author: Donna K. Harman

Publisher:

ISBN: STANFORD:36105017058145

Category: Information storage and retrieval systems

Page: 475

View: 216

Applications and Innovations in Intelligent Systems XIV

conversion of the experimental data from genomic and proteomic sources into the same Bayesian Network (BN) format as the higher level knowledge from ontologies and databases allows the integration of heterogeneous information.

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Author: Richard Ellis

Publisher: Springer Science & Business Media

ISBN: 9781846286667

Category: Computers

Page: 243

View: 338

The papers in this volume are the refereed application papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006. The papers present new and innovative developments in the field. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.

Applications and Innovations in Intelligent Systems XIII

Proceedings of AI2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of ... Cano, R., Sordo, C., Gutiérrez, J.M., Applications of Bayesian Networks in Meteorology, Advances in Bayesian Networks ...

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Author: Ann Macintosh

Publisher: Springer Science & Business Media

ISBN: 9781846282249

Category: Computers

Page: 224

View: 289

The papers in this volume are the refereed application papers presented at AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2005. The papers present new and innovative developments in the field, divided into sections on Synthesis and Prediction, Scheduling and Search, Diagnosis and Monitoring, Classification and Design, and Analysis and Evaluation. This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference on the use of AI Technology to enable organisations to solve complex problems and gain significant business benefits. The Technical Stream papers are published as a companion volume under the title Research and Development in Intelligent Systems XXII.

Innovation in Medicine and Healthcare 2014

[14] D. Niedermayer, An Introduction to Bayesian Networks and Their Contemporary Applications. Innovations in Bayesian Networks. Springer-Verlag, Berlin, Heidelberg, (2008), 117-130. [15] C.D. Flores, L.J. Seixas, J.C. Gluz, ...

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Author: M. Graña

Publisher: IOS Press

ISBN: 9781614994749

Category: HEALTH & FITNESS

Page: 428

View: 526

Advances are constantly being made in the fields of medicine and healthcare, and keeping abreast of them is not always easy. This book presents the proceedings of the second KES International Conference on Innovation in Medicine and Healthcare (InMed 14), held in San Sebastian, Spain, in July 2014. The conference was attended by researchers and engineers, managers, students and practitioners from a broad spectrum of medically related fields, and this multidisciplinary group discussed the ways in which technological and methodological innovation, knowledge exchange and enterprise can be applied to issues relating to medicine, surgery, healthcare and the issues of an ageing population. A central theme of the conference was smart medical and healthcare systems, which explored how modern intelligent systems can contribute to the solution of problems faced by healthcare and medical practitioners today and addressed the application of the systems. The 43 papers included here provided a useful and interesting reference for anyone requiring an overview of current innovations in healthcare.

Artificial Intelligence Applications and Innovations

For each one of the two models, the entire set of 349 data records were used, in order to evaluate the best classification method between multilayer perceptron, radial basis function and naïve bayes networks. For the validation of the ...

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Author: Lazaros Iliadis

Publisher: Springer

ISBN: 9783662446546

Category: Computers

Page: 637

View: 628

This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.

Foundations on Natural and Artificial Computation

Niedermayer, D.: An Introduction to Bayesian Networks and Their Contemporary Applications. In: Innovations in Bayesian Networks. SCI, pp. 117–130. Springer, Heidelberg (2008) 4. Chen, X., Anantha, G., Lin, X.: Improving bayesian network ...

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Author: José M. Ferrández

Publisher: Springer Science & Business Media

ISBN: 9783642213434

Category: Computers

Page: 588

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The two volumes, LNCS 6686 resp. LNCS 6687, constitute the refereed proceedings of the 4th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2011, held in La Palma, Canary Islands, Spain, in May/June 2011. The 108 revised full papers presented in LNCS 6686 resp. LNCS 6687 were carefully reviewed and selected from numerous submissions. The first part, LNCS 6686, entitled "Foundations on Natural and Artificial Computation", includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 6687, entitled "New Challenges on Bioinspired Applications", contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED ``Artificial and Natural Computation for Health'' (CANS) research network papers.

Decision Theory Models for Applications in Artificial Intelligence Concepts and Solutions

The computational complexity of probabilistic inference using Bayesian networks. Artificial Intelligence, 42 ... A Bayesian method for the induction of probabilistic networks from data. ... Innovations in Bayesian Networks, 33–82.

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Author: Sucar, L. Enrique

Publisher: IGI Global

ISBN: 9781609601676

Category: Computers

Page: 444

View: 718

One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.