https://boa.unimib.it/handle/10281/503566
Learning Bayesian Networks: A Copula Approach for Mixed-Type Data
bayesian networkslearningcopulaapproachmixed
https://bookauthority.org/books/new-bayesian-networks-audiobooks
6 New Bayesian Networks Books Defining 2025 - BookAuthority
Explore 6 new Bayesian Networks books by Yousri El Fattah, Narasi Sridhar, and others offering fresh 2025 insights for AI and machine learning professionals.
bayesian networksnewbooksdefining
https://programmingdoc.com/who-offers-assistance-with-bayesian-networks-in-r-programming-homework
Who offers assistance with Bayesian networks in R Programming homework? | Programming Assignment...
Mar 6, 2024 - Who offers assistance with Bayesian networks in R Programming homework? R programming is a flexible, fast-moving programming language. R programming is a
bayesian networksprogramming homeworkoffersassistance
https://academictorrents.com/details/6690e0941328f9ea8724754e91f0e73a25c85b3e
Asymptotic Model Selection for Naive Bayesian Networks - Academic Torrents
A BitTorrent file to download data with the title 'Asymptotic Model Selection for Naive Bayesian Networks', Info Hash: 6690e0941328f9ea8724754e91f0e73a25c85b3e
model selectionbayesian networksasymptoticnaiveacademic
https://research.ou.nl/en/publications/learning-parameters-of-hybrid-time-bayesian-networks/
Learning Parameters of Hybrid Time Bayesian Networks - Open Universiteit research portal
hybrid timebayesian networkslearningparameters
https://scholarworks.montana.edu/items/3c9d7946-7690-486f-97e2-288e96e9d158
Fuzzy Bayesian networks for prognostics and health management
In systems diagnostics it is often difficult to define test requirements and acceptance thresholds for these tests. A technique that can be used to alleviate...
bayesian networksfuzzyprognosticshealthmanagement
https://babel.isa.uma.es/kipr/?tag=bayesian-networks
Bayesian networks | kipr
bayesian networkskipr
https://citius.gal/events/phd-defense-novel-methods-for-bayesian-networks-construction-and-explanation-using-natural-language/
PhD Defense: 'Novel Methods for Bayesian Networks Construction and Explanation using Natural...
Friday, December 12, 2025, from 10:00 to 12:00
phd defensebayesian networks
https://aperta.ulakbim.gov.tr/records/63041
Nonlinear time series forecasting with Bayesian neural networks
The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model...
time series forecastingnonlinearbayesianneuralnetworks
https://bytez.com/docs/arxiv/1901.05906/paper
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference | Read...
Jan 17, 2019 - A regression-based BNN model is proposed to predict spatiotemporal quantities like hourly rider demand with calibrated uncertainties. The main contributions of...
https://experts.colorado.edu/display/pubid_369593
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming | CU Experts |...
https://academictorrents.com/details/3cc32b00695bb7bb972bbcdf8e75fb666463db86/collections
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion -...
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion, Info Hash: 3cc32b00695bb7bb972bbcdf8e75fb666463db86
https://aaltodoc.aalto.fi/items/fc38b0c6-e69c-4a4a-a9fe-43706e2342f1/full
Workload-aware materialization for efficient variable elimination on Bayesian networks
Bayesian networks are general, well-studied probabilistic models that capture dependencies among a set of variables. Variable Elimination is a fundamental...
workloadawarematerializationefficientvariable
https://www.computer.org/product/education/decisionsupport
Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks
decision supportsoftware forrisk assessmentprobabilisticusing
https://ieeetv.ieee.org/ondemand/bayesian-latent-feature-modeling-for-modeling-bipartite-networks-with-overlapping-groups/952/bayesian-latent-feature-modeling-for-modeling-bipartite-networks-with-overlapping-groups
Bayesian Latent Feature Modeling for Modeling Bipartite Networks with Overlapping Groups | IEEETV
bayesianlatentfeaturemodeling
https://aisberg.unibg.it/handle/10446/157778
Employment of Bayesian networks for risk assessment of excavation processes in dense urban areas
https://pure.dongguk.edu/en/publications/bayesian-continual-learning-via-spiking-neural-networks/
Bayesian continual learning via spiking neural networks - Dongguk University
spiking neural networkscontinual learningbayesianviauniversity
https://instadeep.com/2025/09/advancing-ai-with-bayesian-flow-networks/
Advancing AI with Bayesian Flow Networks | InstaDeep - Decision-Making AI For The Enterprise
Feb 27, 2026 - Alex Graves takes us beyond the algorithm to share the story behind the idea that became Bayesian Flow Networks.
advancing ai
https://www.ets.org/research/policy_research_reports/publications/article/2006/hgus.html
Model Diagnostics for Bayesian Networks
modeldiagnosticsbayesiannetworks
https://uwspace.uwaterloo.ca/items/e8bb0643-59c3-43cf-a8ed-afc12a29113a
Regime Switching and Technical Trading with Dynamic Bayesian Networks in High-Frequency Stock...
Technical analysis has been thwarted in academic circles, due to the Efficient Market Hypothesis, which had significant empirical support early on. However...
dynamic bayesian networks
https://iris.uniupo.it/handle/11579/29003
Modeling Cascading Failure Propagation via Dynamic Bayesian Networks
cascading failuremodelingpropagationviadynamic
https://vcg.seas.harvard.edu/publications/20170801-personalizing-gesture-recognition-using-hierarchical-bayesian-neural-networks
VCG Harvard | Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
Visual Computing Group at Harvard University led by Hanspeter Pfister.
gesture recognitionvcgharvardpersonalizingusing
https://deepai.org/publication/bayesian-feature-pyramid-networks-for-automatic-multi-label-segmentation-of-chest-x-rays-and-assessment-of-cardio-thoratic-ratio
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and...
Aug 8, 2019 - 08/08/19 - Cardiothoratic ratio (CTR) estimated from chest radiographs is a marker indicative of cardiomegaly, the presence of which is in th...
https://arxiv.org/abs/1703.07473
[1703.07473] Episode-Based Active Learning with Bayesian Neural Networks
Abstract page for arXiv paper 1703.07473: Episode-Based Active Learning with Bayesian Neural Networks
active learningepisodebasedbayesianneural