Concepedia

Parameter Learning

Parameter Learning is the process of estimating the transition and emission probabilities of a Hidden Markov Model from observed data, distinguishing itself from other model identification tasks by focusing specifically on the optimization of internal parameters given a fixed model structure.

634

Publications

37.9K

Citations

1.8K

Authors

603

Institutions

Publications per year

2017–2026

244

Parents

Publications

634

Semi-supervised learning using Gaussian fields and harmonic functions

Xiaojin Zhu, Zoubin Ghahramani, John Lafferty · 2003 · 3.4K citations

, , +16

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Bo Zong, Song Qi, Martin Renqiang Min et al. · 2018 · 1.1K citations

, , +16

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Lei Bai, Lina Yao, Can Li et al. · arXiv (Cornell University) · 2020 · 699 citations · Full text

, , +16

Active learning of linearly parametrized interatomic potentials

Evgeny V. Podryabinkin, Alexander V. Shapeev · Computational Materials Science · 2017 · 685 citations · Full text

, , +12

word2vec Parameter Learning Explained

Xin Rong · arXiv (Cornell University) · 2014 · 660 citations · Full text

, , +15

1–5 of 634

Authors

1.8K

  1. CJ
    Chia‐Feng Juang

    National Chung Hsing University, Taiwan

    16 publications · 1.6K citations

    15

    h-index

  2. CL
    Chin‐Teng Lin

    National Yang Ming Chiao Tung University, Taiwan

    18 publications · 1.7K citations

    15

    h-index

  3. CL
    Cheng‐Jian Lin

    National Chin-Yi University of Technology, Taiwan

    8 publications · 329 citations

    8

    h-index

  4. PS
    Peter Stone

    The University of Texas at Austin, United States

    6 publications · 243 citations

    6

    h-index

  5. FL
    Faa‐Jeng Lin

    National Central University, Taiwan

    6 publications · 479 citations

    6

    h-index

1–5 of 1.8K

Institutions

603

  1. National Yang Ming Chiao Tung University

    Hsinchu, Taiwan

    16 h-index

    46 publications

    3.4K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    15 h-index

    44 publications

    11.6K citations

  3. National Chung Hsing University

    Taichung, Taiwan

    14 h-index

    29 publications

    2.5K citations

  4. University of Cambridge

    Cambridge, United Kingdom

    11 h-index

    20 publications

    2.2K citations

  5. Stanford University

    Stanford, United States

    11 h-index

    20 publications

    1.8K citations

  6. Georgia Institute of Technology

    Atlanta, United States

    11 h-index

    25 publications

    1.3K citations

  7. National University of Defense Technology

    Changsha, China

    10 h-index

    27 publications

    687 citations

  8. Microsoft (United States)

    Redmond, United States

    10 h-index

    16 publications

    900 citations

1–8 of 603

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 22 publications · 2.8K citations

    20

    h-index

  2. arXiv (Cornell University)

    Repository · 22 publications · 2.1K citations

    16

    h-index

  3. IEEE Transactions on Industrial Electronics

    6 publications · 697 citations

    6

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 246 citations

    6

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 5 publications · 132 citations

    5

    h-index

1–5