Hidden State Inference

Hidden State Inference is the computational process of determining the most probable sequence of unobserved states in a Hidden Markov Model given a sequence of observed emissions and the model’s parameters.

260

Publications

16K

Citations

762

Authors

311

Institutions

Publications per year

2017–2026

106

Authors

762

  1. SY
    Steve Young

    University of Cambridge, United Kingdom

    4 publications · 780 citations

    4

    h-index

  2. JS
    Jinsong Su

    Xiamen University, China

    4 publications · 179 citations

    4

    h-index

  3. ZG
    Zoubin Ghahramani

    University of Cambridge, United Kingdom

    4 publications · 356 citations

    4

    h-index

  4. SJ
    Samuel J. Gershman

    Harvard University, United States

    3 publications · 442 citations

    3

    h-index

  5. MJ
    Matthew J. Beal

    University at Buffalo, State University of New York, United States

    3 publications · 363 citations

    3

    h-index

1–5 of 762

Venues

  1. arXiv (Cornell University)

    Repository · 22 publications · 1.9K citations

    16

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 261 citations

    5

    h-index

  3. IEEE Transactions on Signal Processing

    4 publications · 324 citations

    4

    h-index

  4. Advances in Applied Probability

    AAP · 3 publications · 87 citations

    3

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 74 citations

    3

    h-index

1–5