Negative Log-likelihood

Negative Log-Likelihood is a loss function that measures the dissimilarity between the true data distribution and the predicted probability distribution by taking the negative logarithm of the likelihood of the observed data under the model's estimated parameters.

204

Publications

30.1K

Citations

646

Authors

280

Institutions

Publications per year

2017–2026

105

Authors

646

  1. QM
    Q. M. Jonathan Wu

    University of Windsor, Canada

    4 publications · 277 citations

    4

    h-index

  2. RW
    Rebecca Willett

    Duke University, United States

    4 publications · 213 citations

    4

    h-index

  3. TM
    Thanh Minh Nguyen

    University of Windsor, Canada

    4 publications · 277 citations

    4

    h-index

  4. MK
    Manfred K. Warmuth

    University of California, Santa Cruz, United States

    3 publications · 353 citations

    3

    h-index

  5. JM
    Joachim M. Buhmann

    ETH Zurich, Switzerland

    3 publications · 186 citations

    3

    h-index

1–5 of 646

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 1K citations

    18

    h-index

  2. IEEE Transactions on Medical Imaging

    5 publications · 307 citations

    5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 139 citations

    4

    h-index

  4. IEEE Transactions on Signal Processing

    4 publications · 269 citations

    4

    h-index

  5. Water Resources Research

    3 publications · 223 citations

    3

    h-index

1–5