Machine learning for evolution strategies:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[Cham]
Springer
[2016]
|
| Series: | Studies in big data
volume 20 |
| Subjects: | |
| Physical Description: | ix, 124 Seiten Diagramme (überwiegend farbig) |
| ISBN: | 9783319333816 |
| ISSN: | 2197-6503 |
Staff View
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV043669832 | ||
| 003 | DE-604 | ||
| 005 | 20171011 | ||
| 007 | t| | ||
| 008 | 160714s2016 xx |||| |||| 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 | |
| 049 | |a DE-11 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 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 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-029083015 | |
Record in the Search Index
| _version_ | 1828201574947618816 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Kramer, Oliver |
| author_GND | (DE-588)1107031117 |
| author_facet | Kramer, Oliver |
| author_role | aut |
| author_sort | Kramer, Oliver |
| author_variant | o k ok |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV043669832</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20171011</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">160714s2016 xx |||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319333816</subfield><subfield code="c">hbk.</subfield><subfield code="9">978-3-319-33381-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)951534213</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043669832</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-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kramer, Oliver</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1107031117</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for evolution strategies</subfield><subfield code="c">Oliver Kramer</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Cham]</subfield><subfield code="b">Springer</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">ix, 124 Seiten</subfield><subfield code="b">Diagramme (überwiegend farbig)</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="1" ind2=" "><subfield code="a">Studies in big data</subfield><subfield code="v">volume 20</subfield><subfield code="x">2197-6503</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer simulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sociophysics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Econophysics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Simulation and Modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socio- and Econophysics, Population and Evolutionary Models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ingenieurwissenschaften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-319-33383-0</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Studies in big data</subfield><subfield code="v">volume 20</subfield><subfield code="w">(DE-604)BV041647338</subfield><subfield code="9">20</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029083015</subfield></datafield></record></collection> |
| id | DE-604.BV043669832 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-01T12:01:26Z |
| 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 |
| owner_facet | DE-11 |
| 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 |