Machine learning for evolution strategies:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
[2016]
|
| Schriftenreihe: | Studies in big data
volume 20 |
| Schlagworte: | |
| Beschreibung: | ix, 124 Seiten Diagramme (überwiegend farbig) |
| ISBN: | 9783319333816 |
| ISSN: | 2197-6503 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV043669832 | ||
| 003 | DE-604 | ||
| 005 | 20171011 | ||
| 007 | t | ||
| 008 | 160714s2016 |||| |||| 00||| eng d | ||
| 020 | |a 9783319333816 |c hbk. |9 978-3-319-33381-6 | ||
| 035 | |a (OCoLC)951534213 | ||
| 035 | |a (DE-599)BVBBV043669832 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
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| 100 | 1 | |a Kramer, Oliver |e Verfasser |0 (DE-588)1107031117 |4 aut | |
| 245 | 1 | 0 | |a Machine learning for evolution strategies |c Oliver Kramer |
| 264 | 1 | |a [Cham] |b Springer |c [2016] | |
| 264 | 4 | |c © 2016 | |
| 300 | |a ix, 124 Seiten |b Diagramme (überwiegend farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studies in big data |v volume 20 |x 2197-6503 | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Computer simulation | |
| 650 | 4 | |a Sociophysics | |
| 650 | 4 | |a Econophysics | |
| 650 | 4 | |a Computational intelligence | |
| 650 | 4 | |a Computational Intelligence | |
| 650 | 4 | |a Simulation and Modeling | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Socio- and Econophysics, Population and Evolutionary Models | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Ingenieurwissenschaften | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-319-33383-0 |
| 830 | 0 | |a Studies in big data |v volume 20 |w (DE-604)BV041647338 |9 20 | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Kramer, Oliver |
| author_GND | (DE-588)1107031117 |
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| author_sort | Kramer, Oliver |
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| building | Verbundindex |
| bvnumber | BV043669832 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)951534213 (DE-599)BVBBV043669832 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV043669832 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:32:03Z |
| institution | BVB |
| isbn | 9783319333816 |
| issn | 2197-6503 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029083015 |
| oclc_num | 951534213 |
| open_access_boolean | |
| owner | DE-11 DE-703 |
| owner_facet | DE-11 DE-703 |
| physical | ix, 124 Seiten Diagramme (überwiegend farbig) |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series | Studies in big data |
| series2 | Studies in big data |
| spelling | Kramer, Oliver Verfasser (DE-588)1107031117 aut Machine learning for evolution strategies Oliver Kramer [Cham] Springer [2016] © 2016 ix, 124 Seiten Diagramme (überwiegend farbig) txt rdacontent n rdamedia nc rdacarrier Studies in big data volume 20 2197-6503 Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Online-Ausgabe 978-3-319-33383-0 Studies in big data volume 20 (DE-604)BV041647338 20 |
| spellingShingle | Kramer, Oliver Machine learning for evolution strategies Studies in big data Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Machine learning for evolution strategies |
| title_auth | Machine learning for evolution strategies |
| title_exact_search | Machine learning for evolution strategies |
| title_full | Machine learning for evolution strategies Oliver Kramer |
| title_fullStr | Machine learning for evolution strategies Oliver Kramer |
| title_full_unstemmed | Machine learning for evolution strategies Oliver Kramer |
| title_short | Machine learning for evolution strategies |
| title_sort | machine learning for evolution strategies |
| topic | Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen |
| volume_link | (DE-604)BV041647338 |
| work_keys_str_mv | AT krameroliver machinelearningforevolutionstrategies |