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Title: Parameter inference with deep jointly informed neural networks

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]
  1. Lawrence Livermore National Laboratory Livermore California, Department of Nuclear EngineeringTexas A&, University College Station Texas
  2. Lawrence Livermore National Laboratory Livermore California
  3. Department of Aerospace and Mechanical EngineeringUniversity of Notre Dame Notre Dame Indiana
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1546092
Grant/Contract Number:  
DE‐AC52‐07NA27344
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Statistical Analysis and Data Mining
Additional Journal Information:
Journal Name: Statistical Analysis and Data Mining; Journal ID: ISSN 1932-1864
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Humbird, Kelli D., Peterson, J. Luc, and McClarren, Ryan G. Parameter inference with deep jointly informed neural networks. United States: N. p., 2019. Web. doi:10.1002/sam.11435.
Humbird, Kelli D., Peterson, J. Luc, & McClarren, Ryan G. Parameter inference with deep jointly informed neural networks. United States. doi:10.1002/sam.11435.
Humbird, Kelli D., Peterson, J. Luc, and McClarren, Ryan G. Thu . "Parameter inference with deep jointly informed neural networks". United States. doi:10.1002/sam.11435.
@article{osti_1546092,
title = {Parameter inference with deep jointly informed neural networks},
author = {Humbird, Kelli D. and Peterson, J. Luc and McClarren, Ryan G.},
abstractNote = {},
doi = {10.1002/sam.11435},
journal = {Statistical Analysis and Data Mining},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Journal Article:
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This content will become publicly available on July 31, 2020
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Works referenced in this record:

Random Forests
journal, January 2001