Bayesian optimization and data science:
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2019]
|
| Schriftenreihe: | SpringerBriefs in optimization
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 https://doi.org/10.1007/978-3-030-24494-1 |
| Umfang: | 1 Online-Ressource (xiii, 126 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783030244941 |
| ISSN: | 2191-575X |
| DOI: | 10.1007/978-3-030-24494-1 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046190174 | ||
| 003 | DE-604 | ||
| 005 | 20220207 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 191009s2019 xx a||| o|||| 00||| 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 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-031569559 | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-634 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-92 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-898 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-861 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-863 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-862 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-523 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-91 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-384 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-19 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-703 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-20 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-824 |p ZDB-2-SMA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-24494-1 |l DE-739 |p ZDB-2-SMA |x Verlag |3 Volltext | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2434651 |
|---|---|
| _version_ | 1821932699742371840 |
| 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>03517nam 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 xx a||| o|||| 00||| 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="943" ind1="1" 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">DE-634</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">DE-92</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">DE-898</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">DE-861</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">DE-863</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">DE-862</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">DE-523</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">DE-91</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">DE-384</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">DE-19</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">DE-703</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">DE-20</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">DE-824</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">DE-739</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 | Illustrated |
| indexdate | 2024-12-20T18:45:33Z |
| 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 |