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Cited by 1,157Bayesian Modeling and Causal InferenceBayesian Methods and Mixture ModelsSpeech Recognition and Synthesis

The DOI matches its Crossref record, with a small difference in title or year; 3 of the 3 references it cites were found in a registry or an index.

Factorial Hidden Markov Models

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Ghahramani, Zoubin, Jordan, Michael I.·1997·Machine Learning
DOI 10.1023/a:1007425814087
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Research works printed but not linked: 35

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  13. Jensen, F. V., Lauritzen, S. L., & Olesen, K. G. (1990). Bayesian updating in recursive graphical models by local computations. Computational Statistical Quarterly, 4, 269–282.
  14. Jordan, M. I., Ghahramani, Z., & Saul, L. K. (1997). Hidden Markov decision trees. In M. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems 9. Cambridge, MA: MIT Press.
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  34. Williams, C. K. I., & Hinton, G. E. (1991). Mean field networks that learn to discriminate temporally distorted strings. In D. Touretzky, J. Elman, T. Sejnowski, & G. Hinton (Eds.), Connectionist models: Proceedings of the 1990 summer school (pp. 18–22). San Francisco, CA: Morgan Kaufmann. · DOI
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Metadata

Authors
Ghahramani, Z., & Jordan, M. I.
Affiliations
Massachusetts Institute of Technology (US)
ORCID
Jordan, Michael I.
Venue
Machine Learning
Publisher
Springer Science and Business Media LLC
Published
1997-11
Volume
29
Issue
2-3
Pages
245-273
ISSN
  • 0885-6125 (ISSN-L)
  • 1573-0565
DOI
10.1023/a:1007425814087
OpenAlex
W1528056001
Cited by
1,157
References
3
Citations by year
2026: 4 · 2025: 9 · 2024: 11 · 2023: 12 · 2022: 18 · 2021: 42 · 2020: 44 · 2019: 34 · 2018: 51 · 2017: 67 · 2016: 44 · 2015: 51 · 2014: 72 · 2013: 70 · 2012: 59
FWCI
22.24
Type
journal article
Language
en
Open access
Licence
Locations
Machine Learning (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
Keywords
factorial hidden Markov model, posterior inference, forward-backward algorithm, approximate inference, variational approximation, parameter learning, time series modeling, Bach chorales, musical analysis

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