Holdings: Bayesian optimization and data science

Bayesian optimization and data science:

Saved in:

Bibliographic Details
Main Authors:	Archetti, Francesco 1946- (Author), Candelieri, Antonio ca. 20./21. Jahrhundert (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham, Switzerland Springer [2019]
Series:	SpringerBriefs in optimization
Subjects:	Operations Research, Management Science Machine Learning Mathematical Software Bayesian Inference Machine learning Computer software Statistics Optimierung Bayes-Entscheidungstheorie Gauß-Prozess
Online Access:	BTU01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext
Physical Description:	1 Online-Ressource (xiii, 126 Seiten) Illustrationen, Diagramme
ISBN:	9783030244941
ISSN:	2191-575X
DOI:	10.1007/978-3-030-24494-1

Staff View

MARC


LEADER	00000nmm a2200000 c 4500
001	BV046190174
003	DE-604
005	20220207
007	cr\|uuu---uuuuu
008	191009s2019 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 9783030244941 \|c Online \|9 978-3-030-24494-1
024	7		\|a 10.1007/978-3-030-24494-1 \|2 doi
035			\|a (ZDB-2-SMA)9783030244941
035			\|a (OCoLC)1190330859
035			\|a (DE-599)BVBBV046190174
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-91 \|a DE-19 \|a DE-384 \|a DE-898 \|a DE-861 \|a DE-523 \|a DE-703 \|a DE-863 \|a DE-20 \|a DE-739 \|a DE-634 \|a DE-862 \|a DE-92 \|a DE-824 \|a DE-11
082	0		\|a 519.6 \|2 23
084			\|a SK 970 \|0 (DE-625)143276: \|2 rvk
084			\|a MAT 000 \|2 stub
100	1		\|a Archetti, Francesco \|d 1946- \|e Verfasser \|0 (DE-588)170784363 \|4 aut
245	1	0	\|a Bayesian optimization and data science \|c Francesco Archetti, Antonio Candelieri
264		1	\|a Cham, Switzerland \|b Springer \|c [2019]
264		4	\|c © 2019
300			\|a 1 Online-Ressource (xiii, 126 Seiten) \|b Illustrationen, Diagramme
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
490	0		\|a SpringerBriefs in optimization \|x 2191-575X
650		4	\|a Operations Research, Management Science
650		4	\|a Machine Learning
650		4	\|a Mathematical Software
650		4	\|a Bayesian Inference
650		4	\|a Machine learning
650		4	\|a Computer software
650		4	\|a Statistics
650	0	7	\|a Optimierung \|0 (DE-588)4043664-0 \|2 gnd \|9 rswk-swf
650	0	7	\|a Bayes-Entscheidungstheorie \|0 (DE-588)4144220-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Gauß-Prozess \|0 (DE-588)4156111-9 \|2 gnd \|9 rswk-swf
689	0	0	\|a Gauß-Prozess \|0 (DE-588)4156111-9 \|D s
689	0	1	\|a Bayes-Entscheidungstheorie \|0 (DE-588)4144220-9 \|D s
689	0	2	\|a Optimierung \|0 (DE-588)4043664-0 \|D s
689	0		\|5 DE-604
700	1		\|a Candelieri, Antonio \|d ca. 20./21. Jahrhundert \|e Verfasser \|0 (DE-588)1199554502 \|4 aut
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-24493-4
856	4	0	\|u https://doi.org/10.1007/978-3-030-24494-1 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-2-SMA
940	1		\|q ZDB-2-SMA_2019
999			\|a oai:aleph.bib-bvb.de:BVB01-031569559
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l BTU01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l FHN01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l FHR01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l FRO01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l FWS01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l FWS02 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l HTW01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l TUM01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UBA01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UBM01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UBT01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UBW01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UEI01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-24494-1 \|l UPA01 \|p ZDB-2-SMA \|x Verlag \|3 Volltext

Record in the Search Index

DE-BY-FWS_katkey	738047
_version_	1824554891316559872
any_adam_object
author	Archetti, Francesco 1946- Candelieri, Antonio ca. 20./21. Jahrhundert
author_GND	(DE-588)170784363 (DE-588)1199554502
author_facet	Archetti, Francesco 1946- Candelieri, Antonio ca. 20./21. Jahrhundert
author_role	aut aut
author_sort	Archetti, Francesco 1946-
author_variant	f a fa a c ac
building	Verbundindex
bvnumber	BV046190174
classification_rvk	SK 970
classification_tum	MAT 000
collection	ZDB-2-SMA
ctrlnum	(ZDB-2-SMA)9783030244941 (OCoLC)1190330859 (DE-599)BVBBV046190174
dewey-full	519.6
dewey-hundreds	500 - Natural sciences and mathematics
dewey-ones	519 - Probabilities and applied mathematics
dewey-raw	519.6
dewey-search	519.6
dewey-sort	3519.6
dewey-tens	510 - Mathematics
discipline	Mathematik
doi_str_mv	10.1007/978-3-030-24494-1
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03507nmm a2200733 c 4500</leader><controlfield tag="001">BV046190174</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220207 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">191009s2019 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030244941</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-030-24494-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-030-24494-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SMA)9783030244941</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1190330859</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046190174</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.6</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 970</subfield><subfield code="0">(DE-625)143276:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Archetti, Francesco</subfield><subfield code="d">1946-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)170784363</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bayesian optimization and data science</subfield><subfield code="c">Francesco Archetti, Antonio Candelieri</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham, Switzerland</subfield><subfield code="b">Springer</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 126 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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">SpringerBriefs in optimization</subfield><subfield code="x">2191-575X</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Operations Research, Management Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian Inference</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gauß-Prozess</subfield><subfield code="0">(DE-588)4156111-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Gauß-Prozess</subfield><subfield code="0">(DE-588)4156111-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Candelieri, Antonio</subfield><subfield code="d">ca. 20./21. Jahrhundert</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1199554502</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-24493-4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_2019</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031569559</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UBA01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UEI01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-24494-1</subfield><subfield code="l">UPA01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id	DE-604.BV046190174
illustrated	Not Illustrated
indexdate	2025-02-20T06:58:58Z
institution	BVB
isbn	9783030244941
issn	2191-575X
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031569559
oclc_num	1190330859
open_access_boolean
owner	DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-384 DE-898 DE-BY-UBR DE-861 DE-523 DE-703 DE-863 DE-BY-FWS DE-20 DE-739 DE-634 DE-862 DE-BY-FWS DE-92 DE-824 DE-11
owner_facet	DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-384 DE-898 DE-BY-UBR DE-861 DE-523 DE-703 DE-863 DE-BY-FWS DE-20 DE-739 DE-634 DE-862 DE-BY-FWS DE-92 DE-824 DE-11
physical	1 Online-Ressource (xiii, 126 Seiten) Illustrationen, Diagramme
psigel	ZDB-2-SMA ZDB-2-SMA_2019
publishDate	2019
publishDateSearch	2019
publishDateSort	2019
publisher	Springer
record_format	marc
series2	SpringerBriefs in optimization
spellingShingle	Archetti, Francesco 1946- Candelieri, Antonio ca. 20./21. Jahrhundert Bayesian optimization and data science Operations Research, Management Science Machine Learning Mathematical Software Bayesian Inference Machine learning Computer software Statistics Optimierung (DE-588)4043664-0 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Gauß-Prozess (DE-588)4156111-9 gnd
subject_GND	(DE-588)4043664-0 (DE-588)4144220-9 (DE-588)4156111-9
title	Bayesian optimization and data science
title_auth	Bayesian optimization and data science
title_exact_search	Bayesian optimization and data science
title_full	Bayesian optimization and data science Francesco Archetti, Antonio Candelieri
title_fullStr	Bayesian optimization and data science Francesco Archetti, Antonio Candelieri
title_full_unstemmed	Bayesian optimization and data science Francesco Archetti, Antonio Candelieri
title_short	Bayesian optimization and data science
title_sort	bayesian optimization and data science
topic	Operations Research, Management Science Machine Learning Mathematical Software Bayesian Inference Machine learning Computer software Statistics Optimierung (DE-588)4043664-0 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Gauß-Prozess (DE-588)4156111-9 gnd
topic_facet	Operations Research, Management Science Machine Learning Mathematical Software Bayesian Inference Machine learning Computer software Statistics Optimierung Bayes-Entscheidungstheorie Gauß-Prozess
url	https://doi.org/10.1007/978-3-030-24494-1
work_keys_str_mv	AT archettifrancesco bayesianoptimizationanddatascience AT candelieriantonio bayesianoptimizationanddatascience

Holdings

Get full text

MARC

Record in the Search Index

Similar Items