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177 424 (0,384s)

Result

Transition between graphical and algebraic representatives of Bayesian network models

Basic themes of document: probabilistic modelling; conditional independence structures; Bayesian networks...

JD - Využití počítačů, robotika a její aplikace

  • 2004
  • D
Result

Risk Analysis of Structures Exposed to the Impact by Bayesian Networks

The risk assessment of structures endangered by impact is based on Bayesian causal networks. The suggested approach is to optimize design, which can be applied for any type of structures. The objective is to minimi...

JN - Stavebnictví

  • 2005
  • D
Result

Structural learning of mixed noisy-OR Bayesian networks

In this paper we discuss learning Bayesian networks whose conditional. We refer to these models as Mixed Noisy-OR Bayesian Networks. To learn their structure, we modify the Bayesian Information Cr...

Communication engineering and systems

  • 2023
  • Jimp
  • Link
Result

New Algorithm for Learning Decomposable Models.

Basic themes in document: graphical models; structure learning; bayesian networks.

BD - Teorie informace

  • 2000
  • D
Result

Dynamic Bayesian Networks in the Problem of Localizing the NarcoticSubstances Distribution

of dynamic Bayesian networks (DBN) for scenario analysis and predictionThis paper proposed a methodology for the use of static and dynamic Bayesian networks (BN) in the problems of localizing the distribution of n...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • D
  • Link
Result

On open questions in the geometric approach to learning BN structures

We try to answer some of the open questions in the geometric approach to learning Bayesian network structure. These questions concern the geometric structure of the polytope generated by standard imsets....

BA - Obecná matematika

  • 2009
  • D
Result

Learning Noisy-Or Networks with an Application in Linguistics

to these models as Mixed Noisy-Or Bayesian Networks. In order to learn the structure of such Bayesian networks we modify the Bayesian Information Criteria (BIC) used for general Bayesian...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
Result

Learning Noisy-Or Networks with an Application in Linguistics

to these models as Mixed Noisy-Or Bayesian Networks. In order to learn the structure of such Bayesian networks we modify the Bayesian Information Criteria (BIC) used for general Bayesian...

Statistics and probability

  • 2022
  • D
  • Link
Result

Uncovering Relationships using Bayesian Networks: A Case Study on Conspiracy Theories

Bayesian networks (BNs) represent a probabilistic model that can visualize relationships between variables. We apply various BN structure learning algorithms the structure of the conspiracies and their relationship...

Sociology

  • 2024
  • D
  • Link
Result

The use of Bayesian methods in the task of localizing the narcotic substances distribution

This paper proposed a methodology for the use of static Bayesian networks (BN) in the problems of localizing the distribution of narcotic substances. Methods for constructing the BN structure, their parametric training, val...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
  • Link
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