Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Subtitle: 7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings (Lecture Notes in Computer Science)
Contributors: Thomas D. Nielsen (Editor); Nevin L. Zhang (Editor)
Edition: 1 edition
Publisher: Springer
Published: August 13, 2003
Language: eng
Format: Paperback
Number of pages: 608
ISBN-13: 9783540404941
Subjects: Mathematics and Science; Uncertainty (Information theory); General; Computers; Computers - General Information; Uncertainty (Information theor; Science/Mathematics; Logic; Artificial Intelligence - General; Computer Science; Computers / Artificial Intelligence; algorithmic learning; causal networks; decision making; decision theory; fuzzy information; fuzzy logic; imprecise information; Artificial intelligence; Congresses; Reasoning
First sentence: Traditionally, decision making under uncertainty (DMU) relies on a probabilistic framework.
Description: Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 7th European Conference, ECSQARU 2003 Aalborg, Denmark, July 2-5, 2003 Proceedings<br />Author: Thomas Dyhre Nielsen, Nevin Lianwen Zhang<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-40494-1<br /> DOI: 10.1007/b11792<br /><br />Table of Contents:<p></p><ul><li>Qualitative Decision Rules under Uncertainty
</li><li>Applications of Latent Class Analysis in Social Science Research
</li><li>Transformations from Imprecise to Precise Probabilities
</li><li>A Representation Theorem and Applications
</li><li>On Modal Probability and Belief
</li><li>A Multi-layered Bayesian Network Model for Structured Document Retrieval
</li><li>Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks
</li><li>Qualitative Bayesian Networks with Logical Constraints
</li><li>Introducing Situational Influences in QPNs
</li><li>Classification of Aerial Missions Using Hidden Markov Models
</li><li>Dynamic Importance Sampling Computation in Bayesian Networks
</li><li>Morphing the Hugin and Shenoy–Shafer Architectures
</li><li>Characterization of Inclusion Neighbourhood in Terms of the Essential Graph: Upper Neighbours
</li><li>Approximating Conditional MTE Distributions by Means of Mixed Trees
</li><li>Effective Dimensions of Partially Observed Polytrees
</li><li>Applying Numerical Trees to Evaluate Asymmetric Decision Problems
</li><li>Mixed Influence Diagrams
</li><li>Decision Making Based on Sampled Disease Occurrence in Animal Herds
</li><li>Decision Network Semantics of Branching Constraint Satisfaction Problems
</li><li>Web of Trust: Applying Probabilistic Argumentation to Public-Key Cryptography</li></ul>