Standout Papers

A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian... 1998 2026 2007 2016 1.1k
  1. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models (1998)
    Jeffrey A. Bilmes CTIT technical reports series

Immediate Impact

3 by Nobel laureates 62 from Science/Nature 77 standout
Sub-graph 1 of 23

Citing Papers

Effective gene expression prediction from sequence by integrating long-range interactions
2021 StandoutNobel
A guide to machine learning for biologists
2021 Standout
1 intermediate paper

Works of Jeffrey A. Bilmes being referenced

A pitfall for machine learning methods aiming to predict across cell types
2020
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
2020
and 1 more

Author Peers

Author Last Decade Papers Cites
Jeffrey A. Bilmes 639 663 338 338 34 2.1k
Alex Gammerman 1082 495 150 317 63 2.4k
Norman Weiß 989 259 461 284 23 2.4k
Elizaveta Levina 811 504 195 319 49 2.4k
K. R. K. Murthy 696 579 149 470 9 2.3k
Matthew J. Beal 1663 404 392 386 14 2.5k
David S. Broomhead 942 526 175 284 29 3.0k
Tadeusz Wilusz 435 814 103 155 60 2.4k
Ryan Rifkin 961 1352 101 545 19 3.0k
Julia Handl 851 712 138 236 47 2.0k
Shirish Shevade 1027 362 225 625 29 2.5k

All Works

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2026