Bayesian optimization and data science:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer Nature Switzerland
[2019]
|
| Schriftenreihe: | SpringerBriefs in Optimization
|
| Schlagworte: | |
| Beschreibung: | xiii, 126 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9783030244934 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047310849 | ||
| 003 | DE-604 | ||
| 005 | 20220307 | ||
| 007 | t | ||
| 008 | 210604s2019 sz a||| |||| 00||| eng d | ||
| 020 | |a 9783030244934 |c pbk |9 978-3-030-24493-4 | ||
| 035 | |a (OCoLC)1129601911 | ||
| 035 | |a (DE-599)KXP1679326937 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a sz |c XA-CH | ||
| 049 | |a DE-19 | ||
| 050 | 0 | |a QA402-402.37 | |
| 082 | 0 | |a 519.6 |2 23 | |
| 084 | |a SK 970 |0 (DE-625)143276: |2 rvk | ||
| 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 Nature Switzerland |c [2019] | |
| 300 | |a xiii, 126 Seiten |b Illustrationen, Diagramme, Karten | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a SpringerBriefs in Optimization | |
| 650 | 0 | 7 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Optimierung |0 (DE-588)4043664-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Gauß-Prozess |0 (DE-588)4156111-9 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Computer software | |
| 653 | 0 | |a Statistics | |
| 653 | 0 | |a Operations Research, Management Science | |
| 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 | |z 9783030244941 |c (eBook) | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |a Archetti, Francesco |t Bayesian Optimization and Data Science |d Cham : Springer, 2019 |h 1 Online-Ressource (XIII, 126 Seiten) |o 10.1007/978-3-030-24494-1 |z 978-3-030-24494-1 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032713797 | ||
Datensatz im Suchindex
| _version_ | 1804182500327555072 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| 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 | BV047310849 |
| callnumber-first | Q - Science |
| callnumber-label | QA402-402 |
| callnumber-raw | QA402-402.37 |
| callnumber-search | QA402-402.37 |
| callnumber-sort | QA 3402 3402.37 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 970 |
| ctrlnum | (OCoLC)1129601911 (DE-599)KXP1679326937 |
| 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 |
| discipline_str_mv | Mathematik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01894nam a2200481 c 4500</leader><controlfield tag="001">BV047310849</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220307 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210604s2019 sz a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030244934</subfield><subfield code="c">pbk</subfield><subfield code="9">978-3-030-24493-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1129601911</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1679326937</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="044" ind1=" " ind2=" "><subfield code="a">sz</subfield><subfield code="c">XA-CH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-19</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA402-402.37</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="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 Nature Switzerland</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 126 Seiten</subfield><subfield code="b">Illustrationen, Diagramme, Karten</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="490" ind1="0" ind2=" "><subfield code="a">SpringerBriefs in Optimization</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">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">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="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computer software</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Operations Research, Management Science</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=" "><subfield code="z">9783030244941</subfield><subfield code="c">(eBook)</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="a">Archetti, Francesco</subfield><subfield code="t">Bayesian Optimization and Data Science</subfield><subfield code="d">Cham : Springer, 2019</subfield><subfield code="h">1 Online-Ressource (XIII, 126 Seiten)</subfield><subfield code="o">10.1007/978-3-030-24494-1</subfield><subfield code="z">978-3-030-24494-1</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032713797</subfield></datafield></record></collection> |
| id | DE-604.BV047310849 |
| illustrated | Illustrated |
| index_date | 2024-07-03T17:25:58Z |
| indexdate | 2024-07-10T09:08:32Z |
| institution | BVB |
| isbn | 9783030244934 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032713797 |
| oclc_num | 1129601911 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM |
| owner_facet | DE-19 DE-BY-UBM |
| physical | xiii, 126 Seiten Illustrationen, Diagramme, Karten |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer Nature Switzerland |
| record_format | marc |
| series2 | SpringerBriefs in Optimization |
| spelling | Archetti, Francesco 1946- Verfasser (DE-588)170784363 aut Bayesian optimization and data science Francesco Archetti, Antonio Candelieri Cham, Switzerland Springer Nature Switzerland [2019] xiii, 126 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier SpringerBriefs in Optimization Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Gauß-Prozess (DE-588)4156111-9 gnd rswk-swf Machine learning Computer software Statistics Operations Research, Management Science Gauß-Prozess (DE-588)4156111-9 s Bayes-Entscheidungstheorie (DE-588)4144220-9 s Optimierung (DE-588)4043664-0 s DE-604 Candelieri, Antonio ca. 20./21. Jahrhundert Verfasser (DE-588)1199554502 aut 9783030244941 (eBook) Erscheint auch als Online-Ausgabe Archetti, Francesco Bayesian Optimization and Data Science Cham : Springer, 2019 1 Online-Ressource (XIII, 126 Seiten) 10.1007/978-3-030-24494-1 978-3-030-24494-1 |
| spellingShingle | Archetti, Francesco 1946- Candelieri, Antonio ca. 20./21. Jahrhundert Bayesian optimization and data science Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Optimierung (DE-588)4043664-0 gnd Gauß-Prozess (DE-588)4156111-9 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)4043664-0 (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_exact_search_txtP | 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 | Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Optimierung (DE-588)4043664-0 gnd Gauß-Prozess (DE-588)4156111-9 gnd |
| topic_facet | Bayes-Entscheidungstheorie Optimierung Gauß-Prozess |
| work_keys_str_mv | AT archettifrancesco bayesianoptimizationanddatascience AT candelieriantonio bayesianoptimizationanddatascience |