The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.
Hidden semi-Markov models
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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
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
The EM Algorithm and Extensions
Kushary, D. (1998) · Technometrics · doi:10.1080/00401706.1998.10485534 · Cited by 5,417
On the self-similar nature of Ethernet traffic (extended version)
Leland, W. E., Taqqu, M. S., Willinger, W., & Wilson, D. V. (1994) · IEEE/ACM Transactions on Networking · doi:10.1109/90.282603 · Cited by 5,233
Prediction of complete gene structures in human genomic DNA
Burge, C., & Karlin, S. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1997.0951 · Cited by 4,228
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
Baum, L. E., & Petrie, T. (1966) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177699147 · Cited by 2,775
GeneMark.hmm: new solutions for gene finding
Lukashin, A. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.4.1107 · Cited by 1,538
Inference in Hidden Markov Models
Cappé, O., Moulines, E., & Rydén, T. (2005) · Springer Series in Statistics · doi:10.1007/0-387-28982-8 · Cited by 1,398
Inference in Hidden Markov Models
Capp, O., Moulines, É., & Rydèn, T. (2010) · Springer eBooks · Cited by 1,108
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Cited by
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.11.016 · Cited by 2,634
Remaining useful life estimation – A review on the statistical data driven approaches
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.018 · Cited by 2,162
A review on the application of deep learning in system health management
Khan, S., & Yairi, T. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.11.024 · Cited by 1,133
An algorithmic perspective on imitation learning
Osa, T., Pajarinen, J., Neumann, G., Bagnell, J. A., Abbeel, P., & Peters, J. (2018) · Foundations and Trends in Robotics · doi:10.1561/2300000053 · Cited by 405
Mice alternate between discrete strategies during perceptual decision-making
Ashwood, Z. C., Roy, N. A., Stone, I. R., Laboratory, T. I. B., Urai, A. E., Churchland, A. K., Pouget, A., & Pillow, J. W. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-01007-z · Cited by 229
Metadata
- Authors
- Yu, S.-Z.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 174
- Issue
- 2
- Pages
- 215-243
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2076618452
- Cited by
- 734
- References
- 127
- FWCI
- 27.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- Yu, S.-Z. (2010). Hidden semi-Markov models. Artificial Intelligence. https://doi.org/10.1016/j.artint.2009.11.011
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.
