bayesian networks - Robuta Search

https://www.scirp.org/journal/paperinformation?paperid=2279

Using Bayesian Game Model for Intrusion Detection in Wireless Ad Hoc Networks

Discover how game theory and Bayesian models optimize wireless ad hoc network security. Learn how intermittent intrusion detection systems enhance...

bayesian game intrusion detection using model wireless

https://deepai.org/publication/learning-noisy-or-bayesian-networks-with-max-product-belief-propagation

Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation | DeepAI

01/31/23 - Noisy-OR Bayesian Networks (BNs) are a family of probabilistic graphical models which express rich statistical dependencies in bin...

bayesian networks belief propagation learning noisy max

https://pubmed.ncbi.nlm.nih.gov/38963925/

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation

This study developed a novel methodology for identifying individuals with DS, demonstrating the utility of using Bayesian networks to identify the most...

bayesian networks depression algorithm development validation

https://www.springerprofessional.de/en/causal-inference-using-bayesian-networks/12124658

Causal Inference Using Bayesian Networks | springerprofessional.de

The availability of new computational technologies, data collection opportunities, and data size has significantly influenced the development of a

causal inference bayesian networks using de

https://bayesianrisk.blogspot.com/2018/03/

Risk Assessment with Bayesian Networks: March 2018

This is a blog to support the book "Risk Assessment and Decision Analysis with Bayesian Networks" by Norman Fenton and Martin Neil

risk assessment bayesian networks march

https://arxiv.org/abs/2511.10266

[2511.10266] Temporal Properties of Conditional Independence in Dynamic Bayesian Networks

Abstract page for arXiv paper 2511.10266: Temporal Properties of Conditional Independence in Dynamic Bayesian Networks

conditional independence temporal properties dynamic bayesian

https://deepai.org/publication/price-updating-in-combinatorial-prediction-markets-with-bayesian-networks

Price Updating in Combinatorial Prediction Markets with Bayesian Networks | DeepAI

02/14/12 - To overcome the #P-hardness of computing/updating prices in logarithm market scoring rule-based (LMSR-based) combinatorial predict...

prediction markets bayesian networks price updating combinatorial

https://instadeep.com/2025/09/advancing-ai-with-bayesian-flow-networks/

Advancing AI with Bayesian Flow Networks | InstaDeep - Decision-Making AI For The Enterprise

Sep 4, 2025 - Alex Graves takes us beyond the algorithm to share the story behind the idea that became Bayesian Flow Networks.

decision making ai bayesian flow networks

https://www.mdpi.com/2071-1050/15/3/2335

Innovation Performance Prediction of University Student Teams Based on Bayesian Networks | MDPI

Many studies have been conducted on the impact of dualistic learning, knowledge sharing, member heterogeneity, and their influencing factors on team...

performance prediction university student innovation teams based

https://ojp.gov/ncjrs/virtual-library/abstracts/improving-forensic-identification-using-bayesian-networks-and

Improving Forensic Identification Using Bayesian Networks and Relatedness Estimation: Allowing for...

forensic identification bayesian networks improving using relatedness

https://www.nist.gov/publications/predictive-model-markup-language-pmml-representation-bayesian-networks-application

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in...

Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering syste

predictive model markup language bayesian networks pmml representation

https://pubmed.ncbi.nlm.nih.gov/41209713/

Correction: A guide to bayesian networks software for structure and parameter learning, with a...

[This corrects the article DOI: 10.3389/fsysb.2025.1631901.].

bayesian networks correction guide software structure

https://openreview.net/forum?id=H4xxa2NuP-9&referrer=%5Bthe%20profile%20of%20Ant%C3%B3nio%20G%C3%B3is%5D(%2Fprofile%3Fid%3D~Ant%C3%B3nio_G%C3%B3is1)

Bayesian Structure Learning with Generative Flow Networks | OpenReview

We propose DAG-GFlowNet, a new Bayesian structure learning method based on a novel class of probabilistic models called GFlowNets, that treats sampling of...

structure learning bayesian generative flow networks

https://www.easychair.org/publications/paper/mLJp

Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in...

decision networks water quality pre conditioning approach

https://www.census.gov/library/working-papers/2002/adrm/rrs2002-09.html

Bayesian Networks Representations, Generalized Imputation, and Synt...

Bayesian Networks Representations, Generalized Imputation, and Synthetic Micro-data Satisfying Analytic Constraints

bayesian networks representations generalized imputation synt