Results 71 to 80 of about 2,142,393 (151)

Credal networks and compositional models: preliminary considerations

open access: yes, 2013
In the paper we present basic concepts concerning credal networks and compositional models for credal sets and describe the problem of imprecision increase in the first type of these ...
Vejnarová, Jiřina
core  

Set-Based Variational Methods in Credal Networks: the SV2U Algorithm

open access: yes, 2008
. Graphical models that represent uncertainty through sets of probability measures are often referred to as credal networks. Polynomial-time exact inference methods are available only for polytree-structured binary credal networks.
Fabio Gagliardi Cozman   +2 more
core  

Impact on place of death in cancer patients: a causal exploration in southern Switzerland. [PDF]

open access: yesBMC Palliat Care, 2020
Kern H   +7 more
europepmc   +1 more source

Approximate Inference Algorithm Based on Adaptive Ant Colony and Artificial Fish Swarm Algorithm for Credal Networks

open access: yes, 2011
This paper presents a new algorithm for approximate inference in credal networks (that is, models based on directed acyclic graphs and interval-valued probabilities).
Pang Zhou, Ying Qu
core   +1 more source

Credal Valuation Networks for Machine Reasoning Under Uncertainty

open access: yesIEEE Transactions on Artificial Intelligence
16 pages, 3 ...
Branko Ristic 0001   +2 more
openaire   +4 more sources

Approximate Inference in Credal Networks by Variational Mean Field Methods

open access: yes, 2008
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution for large networks.

core  

Comparing Binary and Standard Probability Trees in Credal Networks Inference [PDF]

open access: yes, 2011
This paper proposes the use of Binary Probability Trees in the propagation of credal networks. Standard and binary probability trees are suitable data structures for representing potentials because they allow to control the accuracy of inference ...
Serafín Moral   +3 more
core  

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