Literature DB >> 10062607

Field Theories for Learning Probability Distributions.

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Abstract

Year:  1996        PMID： 10062607     DOI： 10.1103/PhysRevLett.77.4693

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN： 0031-9007            Impact factor:   9.161


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  6 in total

1.  Bayesian functional integral method for inferring continuous data from discrete measurements.

Authors:  William J Heuett; Bernard V Miller; Susan B Racette; John O Holloszy; Carson C Chow; Vipul Periwal
Journal:  Biophys J       Date:  2012-02-07       Impact factor: 4.033

2.  Bayesian Uncertainty Quantification for Bond Energies and Mobilities Using Path Integral Analysis.

Authors:  Joshua C Chang; Pak-Wing Fok; Tom Chou
Journal:  Biophys J       Date:  2015-09-01       Impact factor: 4.033

3.  A characterization of the time-rescaled gamma process as a model for spike trains.

Authors:  Takeaki Shimokawa; Shinsuke Koyama; Shigeru Shinomoto
Journal:  J Comput Neurosci       Date:  2009-10-21       Impact factor: 1.621

4.  Field-theoretic density estimation for biological sequence space with applications to 5' splice site diversity and aneuploidy in cancer.

Authors:  Wei-Chia Chen; Juannan Zhou; Jason M Sheltzer; Justin B Kinney; David M McCandlish
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-05       Impact factor: 11.205

5.  Density Estimation on Small Data Sets.

Authors:  Wei-Chia Chen; Ammar Tareen; Justin B Kinney
Journal:  Phys Rev Lett       Date:  2018-10-19       Impact factor: 9.185

6.  Adaptive Compaction Construction Simulation Based on Bayesian Field Theory.

Authors:  Jun Zhang; Jia Yu; Tao Guan; Jiajun Wang; Dawei Tong; Binping Wu
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576
  6 in total

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