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PyBNesian: An extensible python package for Bayesian networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-41398-8_34openalex-snapshot
Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning
inferredcites →https://doi.org/10.1007/s10994-006-6889-7openalex-snapshot
The max-min hill-climbing Bayesian network structure learning algorithm
inferredcites →https://doi.org/10.1016/c2009-0-27609-4openalex-snapshot
Probabilistic Reasoning in Intelligent Systems
inferredcites →https://doi.org/10.1016/j.ins.2021.10.074openalex-snapshot
Semiparametric Bayesian networks
inferredcites →https://doi.org/10.1145/2339530openalex-snapshot
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1201/9780429485572openalex-snapshot
Multivariate Kernel Smoothing and its Applications
inferredcites →https://doi.org/10.1214/aos/1176347003openalex-snapshot
Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative
inferredcites →https://doi.org/10.1515/jci-2018-0017openalex-snapshot
Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
inferredcites →https://doi.org/10.18637/jss.v035.i03openalex-snapshot
Learning Bayesian Networks with the bnlearn R Package
inferredcites →https://doi.org/10.18637/jss.v047.i11openalex-snapshot
Causal Inference Using Graphical Models with the R Package pcalg
inferredcites →https://doi.org/10.2307/2331838openalex-snapshot
Frequency Distribution of the Values of the Correlation Coefficient in Samples from an Indefinitely Large Population
inferredcites →https://doi.org/10.2307/2532811openalex-snapshot
Multivariate Density Estimation: Theory, Practice, and Visualization.
inferredcites →https://doi.org/10.25080/majora-7b98e3ed-001openalex-snapshot
pgmpy: Probabilistic Graphical Models using Python
inferredcites →https://doi.org/10.48550/arxiv.1104.2808openalex-snapshot
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
inferredcites →https://doi.org/10.5555/2627435.2750365openalex-snapshot
Order-independent constraint-based causal structure learning
inferredcites →https://doi.org/10.7551/mitpress/7503.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 19
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Bayesian Networks Approach for Analyzing Voting Behavior
inferred← citeshttps://doi.org/10.1007/978-3-031-95841-0_15openalex-snapshot
DBNcare: Towards an R Package for Dynamic Bayesian Networks Application in Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-032-12309-1_38openalex-snapshot
Automated Generation of Bayesian Verification Strategies Using Semantic Web Technologies
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2023.104183openalex-snapshot
Multi-agent-based human cognition simulation of Situation-aware earthquake emergency evacuation
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123198openalex-snapshot
Bandwidth selectors on semiparametric Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116077openalex-snapshot
Transfer learning for nonparametric Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128043openalex-snapshot
EDAspy: An extensible python package for estimation of distribution algorithms
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128048openalex-snapshot
Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming
inferred← citeshttps://doi.org/10.1016/j.sciaf.2024.e02223openalex-snapshot
Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
inferred← citeshttps://doi.org/10.1021/acsanm.3c00173openalex-snapshot
Data-Driven Quantitative Intrinsic Hazard Criteria for Nanoproduct Development in a Safe-by-Design Paradigm: A Case Study of Silver Nanoforms
inferred← citeshttps://doi.org/10.1051/e3sconf/202340203009openalex-snapshot
Application of artificial intelligence methods in estimation the risk of transporting a patient by road
inferred← citeshttps://doi.org/10.1115/1.4065344openalex-snapshot
A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning
inferred← citeshttps://doi.org/10.1177/01436244261422025openalex-snapshot
A probabilistic multi-variable hybrid approach to window operations and indoor comfort in residential dorms
inferred← citeshttps://doi.org/10.22215/etd/2023-15528openalex-snapshot
Statistical Modeling of Air Traffic: Development of Methods and Application through a Canadian Case Study
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