Empirical approach to machine learning:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Ausgabe: | 2019 |
| Schriftenreihe: | Studies in computational intelligence
volume 800 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext |
| Beschreibung: | xxix, 423 Seiten Illustrationen, Diagramme (teilweise farbig) |
| ISBN: | 9783030023836 3030023834 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV045290936 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | t | ||
| 008 | 181114s2019 sz a||| |||| 00||| eng d | ||
| 015 | |a 18,N38 |2 dnb | ||
| 016 | 7 | |a 116658688X |2 DE-101 | |
| 020 | |a 9783030023836 |c hbk |9 978-3-030-02383-6 | ||
| 020 | |a 3030023834 |c hbk |9 3-030-02383-4 | ||
| 035 | |a (OCoLC)1073122455 | ||
| 035 | |a (DE-599)DNB116658688X | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a sz |c CH | ||
| 049 | |a DE-11 | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Angelov, Plamen P. |d 1966- |e Verfasser |0 (DE-588)123411963 |4 aut | |
| 245 | 1 | 0 | |a Empirical approach to machine learning |c Plamen P. Angelov, Xiaowei Gu |
| 250 | |a 2019 | ||
| 264 | 1 | |a Cham |b Springer |c [2019] | |
| 264 | 4 | |b Springer |c 2019 | |
| 300 | |a xxix, 423 Seiten |b Illustrationen, Diagramme (teilweise farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studies in computational intelligence |v volume 800 | |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 653 | |a UYQ | ||
| 653 | |a UN | ||
| 653 | |a UNF | ||
| 653 | |a UYQ | ||
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Gu, Xiaowei |e Verfasser |0 (DE-588)1171364679 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-02384-3 |
| 830 | 0 | |a Studies in computational intelligence |v volume 800 |w (DE-604)BV020822171 |9 800 | |
| 856 | 4 | 2 | |m X:MVB |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=d04efed9d09544368dce95efdf5812f8&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030678336 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804179068076163072 |
|---|---|
| any_adam_object | |
| author | Angelov, Plamen P. 1966- Gu, Xiaowei |
| author_GND | (DE-588)123411963 (DE-588)1171364679 |
| author_facet | Angelov, Plamen P. 1966- Gu, Xiaowei |
| author_role | aut aut |
| author_sort | Angelov, Plamen P. 1966- |
| author_variant | p p a pp ppa x g xg |
| building | Verbundindex |
| bvnumber | BV045290936 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)1073122455 (DE-599)DNB116658688X |
| discipline | Informatik |
| edition | 2019 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01920nam a2200517 cb4500</leader><controlfield tag="001">BV045290936</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">181114s2019 sz a||| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">18,N38</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">116658688X</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030023836</subfield><subfield code="c">hbk</subfield><subfield code="9">978-3-030-02383-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3030023834</subfield><subfield code="c">hbk</subfield><subfield code="9">3-030-02383-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1073122455</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB116658688X</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">CH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</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">Angelov, Plamen P.</subfield><subfield code="d">1966-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)123411963</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Empirical approach to machine learning</subfield><subfield code="c">Plamen P. Angelov, Xiaowei Gu</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2019</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="b">Springer</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxix, 423 Seiten</subfield><subfield code="b">Illustrationen, Diagramme (teilweise 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 computational intelligence</subfield><subfield code="v">volume 800</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="653" ind1=" " ind2=" "><subfield code="a">UYQ</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UNF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UYQ</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="1"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Xiaowei</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1171364679</subfield><subfield code="4">aut</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">978-3-030-02384-3</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Studies in computational intelligence</subfield><subfield code="v">volume 800</subfield><subfield code="w">(DE-604)BV020822171</subfield><subfield code="9">800</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">http://deposit.dnb.de/cgi-bin/dokserv?id=d04efed9d09544368dce95efdf5812f8&prov=M&dok_var=1&dok_ext=htm</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030678336</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| id | DE-604.BV045290936 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:13:59Z |
| institution | BVB |
| isbn | 9783030023836 3030023834 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030678336 |
| oclc_num | 1073122455 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xxix, 423 Seiten Illustrationen, Diagramme (teilweise farbig) |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Angelov, Plamen P. 1966- Verfasser (DE-588)123411963 aut Empirical approach to machine learning Plamen P. Angelov, Xiaowei Gu 2019 Cham Springer [2019] Springer 2019 xxix, 423 Seiten Illustrationen, Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence volume 800 Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf UYQ UN UNF Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Gu, Xiaowei Verfasser (DE-588)1171364679 aut Erscheint auch als Online-Ausgabe 978-3-030-02384-3 Studies in computational intelligence volume 800 (DE-604)BV020822171 800 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=d04efed9d09544368dce95efdf5812f8&prov=M&dok_var=1&dok_ext=htm Inhaltstext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Angelov, Plamen P. 1966- Gu, Xiaowei Empirical approach to machine learning Studies in computational intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4193754-5 |
| title | Empirical approach to machine learning |
| title_auth | Empirical approach to machine learning |
| title_exact_search | Empirical approach to machine learning |
| title_full | Empirical approach to machine learning Plamen P. Angelov, Xiaowei Gu |
| title_fullStr | Empirical approach to machine learning Plamen P. Angelov, Xiaowei Gu |
| title_full_unstemmed | Empirical approach to machine learning Plamen P. Angelov, Xiaowei Gu |
| title_short | Empirical approach to machine learning |
| title_sort | empirical approach to machine learning |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Künstliche Intelligenz Maschinelles Lernen |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=d04efed9d09544368dce95efdf5812f8&prov=M&dok_var=1&dok_ext=htm |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT angelovplamenp empiricalapproachtomachinelearning AT guxiaowei empiricalapproachtomachinelearning |