Machine learning components in deterministic models: hybrid synergy in the age of data

Gespeichert in:

Autor*in:	Evan B Goldstein [verfasserIn] Giovanni eCoco [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	machine learning data driven modeling Hybrid model hybrid modeling Model theory

Übergeordnetes Werk:	In: Frontiers in Environmental Science - Frontiers Media S.A., 2014, 3(2015)
Übergeordnetes Werk:	volume:3 ; year:2015

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fenvs.2015.00033

Katalog-ID:	DOAJ035458321

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topic_title	GE1-350 Machine learning components in deterministic models: hybrid synergy in the age of data machine learning data driven modeling Hybrid model hybrid modeling Model theory
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title	Machine learning components in deterministic models: hybrid synergy in the age of data
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title_full	Machine learning components in deterministic models: hybrid synergy in the age of data
author_sort	Evan B Goldstein
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author_browse	Evan B Goldstein Giovanni eCoco
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author-letter	Evan B Goldstein
doi_str_mv	10.3389/fenvs.2015.00033
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title_sort	machine learning components in deterministic models: hybrid synergy in the age of data
callnumber	GE1-350
title_auth	Machine learning components in deterministic models: hybrid synergy in the age of data
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title_short	Machine learning components in deterministic models: hybrid synergy in the age of data
url	https://doi.org/10.3389/fenvs.2015.00033 https://doaj.org/article/e5ca222823a643bbb9e091f3d4092005 http://journal.frontiersin.org/Journal/10.3389/fenvs.2015.00033/full https://doaj.org/toc/2296-665X
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up_date	2024-07-03T15:05:49.319Z
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