The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A guide to the literature on learning probabilistic networks from data
Abstract
The literature review presented discusses different methods under the general rubric of learning Bayesian networks from data, and includes some overlapping work on more general probabilistic networks. Connections are drawn between the statistical, neural network, and uncertainty communities, and between the different methodological communities, such as Bayesian, description length, and classical statistics. Basic concepts for learning and Bayesian networks are introduced and methods are then reviewed. Methods are discussed for learning parameters of a probabilistic network, for learning the structure, and for learning hidden variables. The article avoids formal definitions and theorems, as these are plentiful in the literature, and instead illustrates key concepts with simplified examples.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
A Stochastic Approximation Method
Robbins, H., & Monro, S. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729586 · Cited by 9,643
Judgment under Uncertainty: Heuristics and Biases
(1982) · doi:10.1017/cbo9780511809477 · Cited by 8,240
Causal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355
Bernardo, J. M., & Smith, A. F. M. (1994) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316870 · Cited by 2,178
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
Madigan, D., & Raftery, A. E. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476894 · Cited by 1,205
Statistical data analysis in the computer age
Efron, B., & Tibshirani, R. (1991) · Science · doi:10.1126/science.253.5018.390 · Cited by 1,192
[Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention
Pearl, J. (1993) · Statistical Science · doi:10.1214/ss/1177010894 · Cited by 258
Cited by
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
Predictive data mining in clinical medicine: Current issues and guidelines
BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.11.006 · Cited by 823
Learning Bayesian networks from data: An information-theory based approach
Cheng, J., Greiner, R., Kelly, J., Bell, D., & Liu, W. (2002) · Artificial Intelligence · doi:10.1016/s0004-3702(02)00191-1 · Cited by 803
Adaptive Probabilistic Networks with Hidden Variables
Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997) · Machine Learning · doi:10.1023/a:1007421730016 · Cited by 377
Metadata
- Authors
- Buntine, W.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 1996-04
- Volume
- 8
- Issue
- 2
- Pages
- 195-210
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2126151607
- Cited by
- 468
- References
- 11
- FWCI
- 17.30
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
