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Title: Adjusting for Outlying Observations in Nuclear Data Evaluation using Machine Learning

Authors:
 [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1544650
Report Number(s):
LA-UR-19-26924
DOE Contract Number:  
89233218CNA000001
Resource Type:
Conference
Resource Relation:
Conference: Student Seminar ; 2019-07-18 - 2019-07-18 ;
Country of Publication:
United States
Language:
English
Subject:
Machine Learning, Nuclear Data Evaluation, Pu-239 neutron-induced fission cross-section

Citation Formats

Whewell, Benjamin Joseph. Adjusting for Outlying Observations in Nuclear Data Evaluation using Machine Learning. United States: N. p., 2019. Web.
Whewell, Benjamin Joseph. Adjusting for Outlying Observations in Nuclear Data Evaluation using Machine Learning. United States.
Whewell, Benjamin Joseph. Thu . "Adjusting for Outlying Observations in Nuclear Data Evaluation using Machine Learning". United States. https://www.osti.gov/servlets/purl/1544650.
@article{osti_1544650,
title = {Adjusting for Outlying Observations in Nuclear Data Evaluation using Machine Learning},
author = {Whewell, Benjamin Joseph},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

Conference:
Other availability
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