The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Adaptive Probabilistic Networks with Hidden Variables
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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
Neural networks for pattern recognition
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,538
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Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Backpropagation through time: what it does and how to do it
Werbos, P. J. (1990) · Proceedings of the IEEE · doi:10.1109/5.58337 · Cited by 4,879
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (1993) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2748-9 · Cited by 4,617
Maximum likelihood estimation from incomplete data via the EM algorithm
Dempster, A. P. (1977) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 4,543
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (2001) · doi:10.7551/mitpress/1754.001.0001 · Cited by 4,521
Cited by
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Storyline approach to the construction of regional climate change information
Shepherd, T. G. (2019) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2019.0013 · Cited by 331
Layered representations for learning and inferring office activity from multiple sensory channels
Oliver, N., Garg, A., & Horvitz, E. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.02.004 · Cited by 316
Discovering study-specific gene regulatory networks
Bo, V., Curtis, T., Lysenko, A., Saqi, M., Swift, S., & Tucker, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106524 · Cited by 10
Metadata
- Authors
- Binder, J., Koller, D., Russell, S., & Kanazawa, K.
- Venue
- Machine Learning
- Published
- 1997-11
- Volume
- 29
- Issue
- 2-3
- Pages
- 213-244
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1801737117
- Cited by
- 377
- References
- 55
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Adaptive Probabilistic Networks with Hidden Variables. https://app.cochat.ai/papers/10.1023/a:1007421730016
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- Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997). Adaptive Probabilistic Networks with Hidden Variables. Machine Learning. https://doi.org/10.1023/a%3A1007421730016
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.
