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Advances in Bayesian Networks

  • José A. Gámez
  • Serafín Moral
  • Antonio Salmerón

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 146)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Foundations

  3. Propagation

  4. Influence Diagrams

    1. Tsai-Ching Lu, Marek J. Druzdzel
      Pages 121-135
    2. Thomas D. Nielsen, Finn V. Jensen
      Pages 137-159
    3. Manuel Gómez
      Pages 161-180
  5. Learning

    1. Rosa Blanco, Iñaki Inza, Pedro Larrañaga
      Pages 181-200
    2. Luis M. de Campos, José A. Gámez, J. Miguel Puerta
      Pages 201-216
    3. Peter J. F. Lucas
      Pages 217-234
    4. Robert Castelo, Michael D. Perlman
      Pages 255-269
  6. Applications

    1. Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
      Pages 271-288
    2. Rafael Cano, Carmen Sordo, José M. Gutiérrez
      Pages 309-328

About this book

Introduction

 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. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, "Advances in Bayesian Networks" presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval

Keywords

Bayesian network artificial intelligence coding expectation–maximization algorithm intelligence learning speech recognition verification

Editors and affiliations

  • José A. Gámez
    • 1
  • Serafín Moral
    • 2
  • Antonio Salmerón
    • 3
  1. 1.Escuela Politecnica Superior, Depto. InformaticaUniversidad de Castilla-La ManchaAlbaceteSpain
  2. 2.ETS Ingenieria Informatica, Depto. Ciencias ComputacionUniversidad de GranadaGranadaSpain
  3. 3.ETS Ingenieria Informatica, Depto. Estadistica y Matemática AplicadaUniversidad de AlmeriaAlmeriaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-39879-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05885-1
  • Online ISBN 978-3-540-39879-0
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site