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Title: Probability Series Expansion Classifier that is Interpretable by Design.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
DHS
OSTI Identifier:
1511561
Report Number(s):
SAND2017-12517C
658828
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the NIPS 2017 Symposium Interpretable Machine Learning held December 4-9, 2017 in Long Beach, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Agarwal, Sapan, and Hudson, Corey. Probability Series Expansion Classifier that is Interpretable by Design.. United States: N. p., 2017. Web.
Agarwal, Sapan, & Hudson, Corey. Probability Series Expansion Classifier that is Interpretable by Design.. United States.
Agarwal, Sapan, and Hudson, Corey. Wed . "Probability Series Expansion Classifier that is Interpretable by Design.". United States. https://www.osti.gov/servlets/purl/1511561.
@article{osti_1511561,
title = {Probability Series Expansion Classifier that is Interpretable by Design.},
author = {Agarwal, Sapan and Hudson, Corey},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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