Verfügbarkeit: Model-agnostic interpretable machine learning

Gespeichert in:

Bibliographische Detailangaben
Beteilige Person:	Molnar, Christoph 1989- (VerfasserIn)
Format:	Hochschulschrift/Dissertation Buch
Sprache:	Englisch
Veröffentlicht:	München 2022
Schlagwörter:	Machine learning Hochschulschrift
Links:	https://doi.org/10.5282/edoc.30374 https://nbn-resolving.org/urn:nbn:de:bvb:19-303742
Umfang:	x, 246 Seiten Illustrationen, Diagramme
DOI:	10.5282/edoc.30374

Internformat

MARC


LEADER	00000nam a2200000zc 4500
001	BV048418214
003	DE-604
007	t\|
008	220823s2022 gw a\|\|\| m\|\|\| 00\|\|\| eng d
015			\|a 22,O09 \|2 dnb
035			\|a (OCoLC)1344251723
035			\|a (DE-599)BVBBV048418214
040			\|a DE-604 \|b ger
041	0		\|a eng
044			\|a gw \|c XA-DE-BY
049			\|a DE-384 \|a DE-473 \|a DE-703 \|a DE-1051 \|a DE-824 \|a DE-29 \|a DE-12 \|a DE-91 \|a DE-19 \|a DE-1049 \|a DE-92 \|a DE-739 \|a DE-898 \|a DE-355 \|a DE-706 \|a DE-20 \|a DE-1102 \|a DE-860 \|a DE-2174 \|a DE-573
084			\|8 1\p \|a 006.31 \|2 23ksdnb
084			\|8 2\p \|a 004 \|2 23sdnb
100	1		\|a Molnar, Christoph \|d 1989- \|e Verfasser \|0 (DE-588)1222925737 \|4 aut
245	1	0	\|a Model-agnostic interpretable machine learning \|c Christoph Molnar
264		1	\|a München \|c 2022
300			\|a x, 246 Seiten \|b Illustrationen, Diagramme
336			\|b txt \|2 rdacontent
337			\|b n \|2 rdamedia
338			\|b nc \|2 rdacarrier
502			\|b Dissertation \|c München, Ludwig-Maximilians-Universität \|d 2022
650	0	7	\|8 3\p \|a Machine learning \|0 (DLC)sh85079324 \|0 http://id.loc.gov/authorities/subjects/sh85079324 \|2 lcsh
655		7	\|0 (DE-588)4113937-9 \|a Hochschulschrift \|2 gnd-content
776	0	8	\|i Erscheint auch als \|n Online-Ausgabe \|o urn:nbn:de:bvb:19-303742 \|o 10.5282/edoc.30374
856	4	1	\|u https://doi.org/10.5282/edoc.30374 \|x Verlag \|z kostenfrei \|3 Volltext
856	4	1	\|u https://nbn-resolving.org/urn:nbn:de:bvb:19-303742 \|x Resolving-System \|z kostenfrei \|3 Volltext
883	0		\|8 1\p \|a aepkn \|c 0,92895 \|d 20220816 \|q DE-101 \|u https://d-nb.info/provenance/plan#aepkn
883	0		\|8 2\p \|a emasg \|c 0,18932 \|d 20220816 \|q DE-101 \|u https://d-nb.info/provenance/plan#emasg
883	0		\|8 3\p \|a aeplcsh \|c 0,07143 \|d 20220816 \|q DE-101 \|u https://d-nb.info/provenance/plan#aeplcsh
912			\|a ebook
943	1		\|a oai:aleph.bib-bvb.de:BVB01-033796557

Datensatz im Suchindex

DE-BY-OTHR_katkey	6603451
DE-BY-TUM_katkey	2686498
DE-BY-UBR_katkey	6603451
_version_	1835081610939072512
adam_text
any_adam_object
author	Molnar, Christoph 1989-
author_GND	(DE-588)1222925737
author_facet	Molnar, Christoph 1989-
author_role	aut
author_sort	Molnar, Christoph 1989-
author_variant	c m cm
building	Verbundindex
bvnumber	BV048418214
collection	ebook
ctrlnum	(OCoLC)1344251723 (DE-599)BVBBV048418214
doi_str_mv	10.5282/edoc.30374
format	Thesis Book
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV048418214</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t\|</controlfield><controlfield tag="008">220823s2022 gw a\|\|\| m\|\|\| 00\|\|\| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">22,O09</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1344251723</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048418214</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</subfield><subfield code="a">DE-573</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">006.31</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">004</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Molnar, Christoph</subfield><subfield code="d">1989-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1222925737</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Model-agnostic interpretable machine learning</subfield><subfield code="c">Christoph Molnar</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 246 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">München, Ludwig-Maximilians-Universität</subfield><subfield code="d">2022</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="8">3\p</subfield><subfield code="a">Machine learning</subfield><subfield code="0">(DLC)sh85079324</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85079324</subfield><subfield code="2">lcsh</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="o">urn:nbn:de:bvb:19-303742</subfield><subfield code="o">10.5282/edoc.30374</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.5282/edoc.30374</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:19-303742</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">aepkn</subfield><subfield code="c">0,92895</subfield><subfield code="d">20220816</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aepkn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">emasg</subfield><subfield code="c">0,18932</subfield><subfield code="d">20220816</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emasg</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">aeplcsh</subfield><subfield code="c">0,07143</subfield><subfield code="d">20220816</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aeplcsh</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033796557</subfield></datafield></record></collection>
genre	(DE-588)4113937-9 Hochschulschrift gnd-content
genre_facet	Hochschulschrift
id	DE-604.BV048418214
illustrated	Illustrated
indexdate	2025-02-25T11:01:33Z
institution	BVB
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033796557
oclc_num	1344251723
open_access_boolean	1
owner	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 DE-573
owner_facet	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 DE-573
physical	x, 246 Seiten Illustrationen, Diagramme
psigel	ebook
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
record_format	marc
spellingShingle	Molnar, Christoph 1989- Model-agnostic interpretable machine learning 3\p Machine learning (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 lcsh
subject_GND	(DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 (DE-588)4113937-9
title	Model-agnostic interpretable machine learning
title_auth	Model-agnostic interpretable machine learning
title_exact_search	Model-agnostic interpretable machine learning
title_full	Model-agnostic interpretable machine learning Christoph Molnar
title_fullStr	Model-agnostic interpretable machine learning Christoph Molnar
title_full_unstemmed	Model-agnostic interpretable machine learning Christoph Molnar
title_short	Model-agnostic interpretable machine learning
title_sort	model agnostic interpretable machine learning
topic	3\p Machine learning (DLC)sh85079324 http://id.loc.gov/authorities/subjects/sh85079324 lcsh
topic_facet	Machine learning Hochschulschrift
url	https://doi.org/10.5282/edoc.30374 https://nbn-resolving.org/urn:nbn:de:bvb:19-303742
work_keys_str_mv	AT molnarchristoph modelagnosticinterpretablemachinelearning

Verfügbarkeit

Bestellen (Login erforderlich)

Online lesen (frei zugänglich)
Paper/Kapitel scannen lassen