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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Thomas Dyhre Nielsen

    1. Department of Computer Science, Aalborg University, Aalborg, Denmark

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  2. Nevin Lianwen Zhang

    1. Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China,

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2711)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECSQARU 2003.

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Table of contents (49 papers)

  1. Front Matter

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  2. Invited Papers

    1. Qualitative Decision Rules under Uncertainty

      • Didier Dubois, Hélène Fargier, Régis Sabbadin
      Pages 1-21

    2. Applications of Latent Class Analysis in Social Science Research

      • Jeroen K. Vermunt
      Pages 22-36

  3. Foundations of Uncertainty Concepts

    1. Transformations from Imprecise to Precise Probabilities

      • Pietro Baroni, Paolo Vicig
      Pages 37-49

    2. A Representation Theorem and Applications

      • Manfred Jaeger
      Pages 50-61

    3. On Modal Probability and Belief

      • Andreas Herzig, Dominique Longin
      Pages 62-73

  4. Bayesian Networks

    1. A Multi-layered Bayesian Network Model for Structured Document Retrieval

      • Fabio Crestani, Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
      Pages 74-86

    2. Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks

      • Silja Renooij, Simon Parsons, Pauline Pardieck
      Pages 87-99

    3. Qualitative Bayesian Networks with Logical Constraints

      • Barbara Vantaggi
      Pages 100-112

    4. Introducing Situational Influences in QPNs

      • Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
      Pages 113-124

    5. Classification of Aerial Missions Using Hidden Markov Models

      • Maria Andersson
      Pages 125-136

  5. Algorithms for Uncertainty Inference

    1. Dynamic Importance Sampling Computation in Bayesian Networks

      • Serafín Moral, Antonio Salmerón
      Pages 137-148

    2. Morphing the Hugin and Shenoy–Shafer Architectures

      • James D. Park, Adnan Darwiche
      Pages 149-160

  6. Learning

    1. Characterization of Inclusion Neighbourhood in Terms of the Essential Graph: Upper Neighbours

      • Milan Studený
      Pages 161-172

    2. Approximating Conditional MTE Distributions by Means of Mixed Trees

      • Serafín Moral, Rafael Rumí, Antonio Salmerón
      Pages 173-183

    3. Effective Dimensions of Partially Observed Polytrees

      • Tomáš Kočka, Nevin L. Zhang
      Pages 184-195

  7. Decision Graphs

    1. Applying Numerical Trees to Evaluate Asymmetric Decision Problems

      • Manuel Gómez, Andrés Cano
      Pages 196-207

    2. Mixed Influence Diagrams

      • Anders L. Madsen, Frank Jensen
      Pages 208-219

    3. Decision Making Based on Sampled Disease Occurrence in Animal Herds

      • Michael Höhle, Erik Jørgensen
      Pages 220-229

    4. Decision Network Semantics of Branching Constraint Satisfaction Problems

      • Ken Brown, Peter Lucas, David Fowler
      Pages 230-242
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Editors and Affiliations

  • Department of Computer Science, Aalborg University, Aalborg, Denmark

    Thomas Dyhre Nielsen

  • Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China,

    Nevin Lianwen Zhang

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