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Title: Active Manifolds ICML 2019 Paper Results Code

Abstract

Problem Solved: A novel technique for regression and sensitivity analysis of C1 function f problematic input dimension given observations (x_i, f(x_i), f'(x_i)). Solution Provided by the Code: Active Manifolds reduces the problem to analysis/regression of a 1 dimensional analogue by exploiting geometric properties of the function.

Authors:
 [1];  [1];  [2];  [3];  [1]
  1. Oak Ridge National Laboratory
  2. Texas Technical University
  3. Washington University in St. Louis
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1546756
Report Number(s):
Active Manifolds ICML 2019 Paper Results Code; 005864MLTPL00
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Software
Software Revision:
00
Software Package Number:
005864
Software CPU:
MLTPL
Open Source:
Yes
Source Code Available:
No
Country of Publication:
United States

Citation Formats

Bridges, Robert A, Verma, Kiren E, Gruber, Anthony, Felder, Chris, and Hoff, chelsey. Active Manifolds ICML 2019 Paper Results Code. Computer software. https://www.osti.gov//servlets/purl/1546756. Vers. 00. USDOE. 9 May. 2019. Web.
Bridges, Robert A, Verma, Kiren E, Gruber, Anthony, Felder, Chris, & Hoff, chelsey. (2019, May 9). Active Manifolds ICML 2019 Paper Results Code (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1546756.
Bridges, Robert A, Verma, Kiren E, Gruber, Anthony, Felder, Chris, and Hoff, chelsey. Active Manifolds ICML 2019 Paper Results Code. Computer software. Version 00. May 9, 2019. https://www.osti.gov//servlets/purl/1546756.
@misc{osti_1546756,
title = {Active Manifolds ICML 2019 Paper Results Code, Version 00},
author = {Bridges, Robert A and Verma, Kiren E and Gruber, Anthony and Felder, Chris and Hoff, chelsey},
abstractNote = {Problem Solved: A novel technique for regression and sensitivity analysis of C1 function f problematic input dimension given observations (x_i, f(x_i), f'(x_i)). Solution Provided by the Code: Active Manifolds reduces the problem to analysis/regression of a 1 dimensional analogue by exploiting geometric properties of the function.},
url = {https://www.osti.gov//servlets/purl/1546756},
doi = {},
year = {2019},
month = {5},
note =
}

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