Operations and evaluation measures for learning possibilistic graphical models-Reference-Cited by-同舟云学术

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Operations and evaluation measures for learning possibilistic graphical models

Published:2003-08 Issue:1-2 Volume:148 Page:385-418
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Borgelt Christian,Kruse Rudolf

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference44 articles.

1. HUGIN—A shell for building bayesian belief universes for expert systems;Andersen,1989

2. Update rules for parameter estimation in bayesian networks;Bauer,1997

3. Concepts for probabilistic and possibilistic induction of decision trees on real world data;Borgelt,1996

4. Evaluation measures for learning probabilistic and possibilistic networks;Borgelt,1997

5. Efficient maximum projection of database-induced multivariate possibility distributions;Borgelt,1998

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1. Possibility Theory;Encyclopedia of Complexity and Systems Science Series;2023

2. Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models;Information Systems;2019-07

3. Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data;Lecture Notes in Computer Science;2017

4. Possibilistic Very Fast Decision Tree for Uncertain Data Streams;Intelligent Decision Technologies;2015

5. Possibility Theory;Encyclopedia of Complexity and Systems Science;2015

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