Optimization Algorithms for Distributed Machine Learning:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Synthesis Lectures on Learning, Networks, and Algorithms
|
| Schlagworte: | |
| Online-Zugang: | FAB01 FHA01 FHI01 FHN01 FKE01 UBT01 Volltext |
| Beschreibung: | 1 Online-Ressource (XIII, 127 p. 40 illus., 38 illus. in color) |
| ISBN: | 9783031190674 |
| ISSN: | 2690-4314 |
| DOI: | 10.1007/978-3-031-19067-4 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV048813655 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230214s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9783031190674 |c Online |9 978-3-031-19067-4 | ||
| 024 | 7 | |a 10.1007/978-3-031-19067-4 |2 doi | |
| 035 | |a (ZDB-2-SXSC)9783031190674 | ||
| 035 | |a (OCoLC)1371314947 | ||
| 035 | |a (DE-599)BVBBV048813655 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1043 |a DE-Aug4 |a DE-92 |a DE-573 |a DE-859 |a DE-703 | ||
| 082 | 0 | |a 518.1 |2 23 | |
| 100 | 1 | |a Joshi, Gauri |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Optimization Algorithms for Distributed Machine Learning |c by Gauri Joshi |
| 250 | |a 1st ed. 2023 | ||
| 264 | 1 | |a Cham |b Springer International Publishing |c 2023 | |
| 264 | 1 | |a Cham |b Springer | |
| 300 | |a 1 Online-Ressource (XIII, 127 p. 40 illus., 38 illus. in color) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Synthesis Lectures on Learning, Networks, and Algorithms |x 2690-4314 | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Design and Analysis of Algorithms | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Distribution Theory | |
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Distribution (Probability theory) | |
| 650 | 4 | |a Computer science | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-19066-7 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-19068-1 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-19069-8 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-19067-4 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-SXSC | ||
| 940 | 1 | |q ZDB-2-SXSC_2023 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034079524 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l FAB01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l FHA01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l FHI01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l FHN01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l FKE01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-031-19067-4 |l UBT01 |p ZDB-2-SXSC |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804184900219174912 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Joshi, Gauri |
| author_facet | Joshi, Gauri |
| author_role | aut |
| author_sort | Joshi, Gauri |
| author_variant | g j gj |
| building | Verbundindex |
| bvnumber | BV048813655 |
| collection | ZDB-2-SXSC |
| ctrlnum | (ZDB-2-SXSC)9783031190674 (OCoLC)1371314947 (DE-599)BVBBV048813655 |
| dewey-full | 518.1 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 518 - Numerical analysis |
| dewey-raw | 518.1 |
| dewey-search | 518.1 |
| dewey-sort | 3518.1 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| doi_str_mv | 10.1007/978-3-031-19067-4 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02449nmm a2200601zcb4500</leader><controlfield tag="001">BV048813655</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230214s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031190674</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-031-19067-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-031-19067-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SXSC)9783031190674</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1371314947</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048813655</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-1043</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-703</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">518.1</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Joshi, Gauri</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimization Algorithms for Distributed Machine Learning</subfield><subfield code="c">by Gauri Joshi</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIII, 127 p. 40 illus., 38 illus. in color)</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">Synthesis Lectures on Learning, Networks, and Algorithms</subfield><subfield code="x">2690-4314</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Design and Analysis of Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</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">978-3-031-19066-7</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">978-3-031-19068-1</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">978-3-031-19069-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</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-SXSC</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SXSC_2023</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034079524</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-19067-4</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-2-SXSC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048813655 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:30:59Z |
| indexdate | 2024-07-10T09:46:41Z |
| institution | BVB |
| isbn | 9783031190674 |
| issn | 2690-4314 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034079524 |
| oclc_num | 1371314947 |
| open_access_boolean | |
| owner | DE-1043 DE-Aug4 DE-92 DE-573 DE-859 DE-703 |
| owner_facet | DE-1043 DE-Aug4 DE-92 DE-573 DE-859 DE-703 |
| physical | 1 Online-Ressource (XIII, 127 p. 40 illus., 38 illus. in color) |
| psigel | ZDB-2-SXSC ZDB-2-SXSC_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | Synthesis Lectures on Learning, Networks, and Algorithms |
| spelling | Joshi, Gauri Verfasser aut Optimization Algorithms for Distributed Machine Learning by Gauri Joshi 1st ed. 2023 Cham Springer International Publishing 2023 Cham Springer 1 Online-Ressource (XIII, 127 p. 40 illus., 38 illus. in color) txt rdacontent c rdamedia cr rdacarrier Synthesis Lectures on Learning, Networks, and Algorithms 2690-4314 Algorithms Machine Learning Design and Analysis of Algorithms Artificial Intelligence Distribution Theory Computer Science Machine learning Artificial intelligence Distribution (Probability theory) Computer science Erscheint auch als Druck-Ausgabe 978-3-031-19066-7 Erscheint auch als Druck-Ausgabe 978-3-031-19068-1 Erscheint auch als Druck-Ausgabe 978-3-031-19069-8 https://doi.org/10.1007/978-3-031-19067-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Joshi, Gauri Optimization Algorithms for Distributed Machine Learning Algorithms Machine Learning Design and Analysis of Algorithms Artificial Intelligence Distribution Theory Computer Science Machine learning Artificial intelligence Distribution (Probability theory) Computer science |
| title | Optimization Algorithms for Distributed Machine Learning |
| title_auth | Optimization Algorithms for Distributed Machine Learning |
| title_exact_search | Optimization Algorithms for Distributed Machine Learning |
| title_exact_search_txtP | Optimization Algorithms for Distributed Machine Learning |
| title_full | Optimization Algorithms for Distributed Machine Learning by Gauri Joshi |
| title_fullStr | Optimization Algorithms for Distributed Machine Learning by Gauri Joshi |
| title_full_unstemmed | Optimization Algorithms for Distributed Machine Learning by Gauri Joshi |
| title_short | Optimization Algorithms for Distributed Machine Learning |
| title_sort | optimization algorithms for distributed machine learning |
| topic | Algorithms Machine Learning Design and Analysis of Algorithms Artificial Intelligence Distribution Theory Computer Science Machine learning Artificial intelligence Distribution (Probability theory) Computer science |
| topic_facet | Algorithms Machine Learning Design and Analysis of Algorithms Artificial Intelligence Distribution Theory Computer Science Machine learning Artificial intelligence Distribution (Probability theory) Computer science |
| url | https://doi.org/10.1007/978-3-031-19067-4 |
| work_keys_str_mv | AT joshigauri optimizationalgorithmsfordistributedmachinelearning |