Support Vector learning:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
München [u.a.]
Oldenbourg
1997
|
| Schriftenreihe: | GMD-Berichte
287 |
| Schlagwörter: | |
| Beschreibung: | Zugl.: Berlin, Techn. Univ., Diss., 1997 |
| Umfang: | 173 S. Ill., graph. Darst. |
| ISBN: | 3486246321 |
Internformat
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV022075974 | ||
| 003 | DE-604 | ||
| 005 | 20040302000000.0 | ||
| 007 | t| | ||
| 008 | 980617s1997 xx ad|| m||| 00||| eng d | ||
| 020 | |a 3486246321 |9 3-486-24632-1 | ||
| 035 | |a (OCoLC)39472591 | ||
| 035 | |a (DE-599)BVBBV022075974 | ||
| 040 | |a DE-604 |b ger | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 050 | 0 | |a QA1 | |
| 084 | |a QH 140 |0 (DE-625)141533: |2 rvk | ||
| 084 | |a SI 210 |0 (DE-625)143104: |2 rvk | ||
| 084 | |a ST 304 |0 (DE-625)143653: |2 rvk | ||
| 100 | 1 | |a Schölkopf, Bernhard |d 1968- |e Verfasser |0 (DE-588)14184633X |4 aut | |
| 245 | 1 | 0 | |a Support Vector learning |c Bernhard Schölkopf |
| 264 | 1 | |a München [u.a.] |b Oldenbourg |c 1997 | |
| 300 | |a 173 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a GMD-Berichte |v 287 | |
| 500 | |a Zugl.: Berlin, Techn. Univ., Diss., 1997 | ||
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Pattern perception | |
| 650 | 4 | |a Vector analysis | |
| 650 | 0 | 7 | |a Extraktion |0 (DE-588)4016062-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Support-Vektor-Maschine |0 (DE-588)4505517-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Merkmal |0 (DE-588)4253132-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenkompression |0 (DE-588)4121121-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Hilbert-Raum |0 (DE-588)4159850-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Lernender Automat |0 (DE-588)4167398-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Klassifikation |0 (DE-588)4030958-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Stützstelle |g Mathematik |0 (DE-588)4287204-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Extraktion |0 (DE-588)4016062-2 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Klassifikation |0 (DE-588)4030958-7 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Datenkompression |0 (DE-588)4121121-2 |D s |
| 689 | 2 | |5 DE-604 | |
| 689 | 3 | 0 | |a Hilbert-Raum |0 (DE-588)4159850-7 |D s |
| 689 | 3 | |5 DE-604 | |
| 689 | 4 | 0 | |a Lernender Automat |0 (DE-588)4167398-0 |D s |
| 689 | 4 | |5 DE-604 | |
| 689 | 5 | 0 | |a Merkmal |0 (DE-588)4253132-9 |D s |
| 689 | 5 | |5 DE-604 | |
| 689 | 6 | 0 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 6 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 6 | 2 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
| 689 | 6 | 3 | |a Support-Vektor-Maschine |0 (DE-588)4505517-8 |D s |
| 689 | 6 | |8 1\p |5 DE-604 | |
| 689 | 7 | 0 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
| 689 | 7 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 7 | 2 | |a Stützstelle |g Mathematik |0 (DE-588)4287204-2 |D s |
| 689 | 7 | |8 2\p |5 DE-604 | |
| 830 | 0 | |a GMD-Berichte |v 287 |w (DE-604)BV010701409 | |
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-015290781 | |
Datensatz im Suchindex
| _version_ | 1818963600853696512 |
|---|---|
| any_adam_object | |
| author | Schölkopf, Bernhard 1968- |
| author_GND | (DE-588)14184633X |
| author_facet | Schölkopf, Bernhard 1968- |
| author_role | aut |
| author_sort | Schölkopf, Bernhard 1968- |
| author_variant | b s bs |
| building | Verbundindex |
| bvnumber | BV022075974 |
| callnumber-first | Q - Science |
| callnumber-label | QA1 |
| callnumber-raw | QA1 |
| callnumber-search | QA1 |
| callnumber-sort | QA 11 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | QH 140 SI 210 ST 304 |
| ctrlnum | (OCoLC)39472591 (DE-599)BVBBV022075974 |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03044nam a2200805zcb4500</leader><controlfield tag="001">BV022075974</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20040302000000.0</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">980617s1997 xx ad|| m||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3486246321</subfield><subfield code="9">3-486-24632-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)39472591</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV022075974</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA1</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 140</subfield><subfield code="0">(DE-625)141533:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SI 210</subfield><subfield code="0">(DE-625)143104:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 304</subfield><subfield code="0">(DE-625)143653:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schölkopf, Bernhard</subfield><subfield code="d">1968-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)14184633X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Support Vector learning</subfield><subfield code="c">Bernhard Schölkopf</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München [u.a.]</subfield><subfield code="b">Oldenbourg</subfield><subfield code="c">1997</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">173 S.</subfield><subfield code="b">Ill., graph. Darst.</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">GMD-Berichte</subfield><subfield code="v">287</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Zugl.: Berlin, Techn. Univ., Diss., 1997</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">Pattern perception</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vector analysis</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Extraktion</subfield><subfield code="0">(DE-588)4016062-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Support-Vektor-Maschine</subfield><subfield code="0">(DE-588)4505517-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Merkmal</subfield><subfield code="0">(DE-588)4253132-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenkompression</subfield><subfield code="0">(DE-588)4121121-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hilbert-Raum</subfield><subfield code="0">(DE-588)4159850-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Lernender Automat</subfield><subfield code="0">(DE-588)4167398-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stützstelle</subfield><subfield code="g">Mathematik</subfield><subfield code="0">(DE-588)4287204-2</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="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Extraktion</subfield><subfield code="0">(DE-588)4016062-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Datenkompression</subfield><subfield code="0">(DE-588)4121121-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Hilbert-Raum</subfield><subfield code="0">(DE-588)4159850-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="4" ind2="0"><subfield code="a">Lernender Automat</subfield><subfield code="0">(DE-588)4167398-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="5" ind2="0"><subfield code="a">Merkmal</subfield><subfield code="0">(DE-588)4253132-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="5" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="6" ind2="0"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="6" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="6" ind2="2"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="6" ind2="3"><subfield code="a">Support-Vektor-Maschine</subfield><subfield code="0">(DE-588)4505517-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="6" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="7" ind2="0"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="7" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="7" ind2="2"><subfield code="a">Stützstelle</subfield><subfield code="g">Mathematik</subfield><subfield code="0">(DE-588)4287204-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="7" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">GMD-Berichte</subfield><subfield code="v">287</subfield><subfield code="w">(DE-604)BV010701409</subfield><subfield code="9"></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><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\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><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-015290781</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV022075974 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T12:47:48Z |
| institution | BVB |
| isbn | 3486246321 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015290781 |
| oclc_num | 39472591 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 173 S. Ill., graph. Darst. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Oldenbourg |
| record_format | marc |
| series | GMD-Berichte |
| series2 | GMD-Berichte |
| spelling | Schölkopf, Bernhard 1968- Verfasser (DE-588)14184633X aut Support Vector learning Bernhard Schölkopf München [u.a.] Oldenbourg 1997 173 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier GMD-Berichte 287 Zugl.: Berlin, Techn. Univ., Diss., 1997 Algorithms Machine learning Pattern perception Vector analysis Extraktion (DE-588)4016062-2 gnd rswk-swf Support-Vektor-Maschine (DE-588)4505517-8 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Merkmal (DE-588)4253132-9 gnd rswk-swf Datenkompression (DE-588)4121121-2 gnd rswk-swf Hilbert-Raum (DE-588)4159850-7 gnd rswk-swf Lernender Automat (DE-588)4167398-0 gnd rswk-swf Klassifikation (DE-588)4030958-7 gnd rswk-swf Stützstelle Mathematik (DE-588)4287204-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Extraktion (DE-588)4016062-2 s DE-604 Klassifikation (DE-588)4030958-7 s Datenkompression (DE-588)4121121-2 s Hilbert-Raum (DE-588)4159850-7 s Lernender Automat (DE-588)4167398-0 s Merkmal (DE-588)4253132-9 s Mustererkennung (DE-588)4040936-3 s Maschinelles Lernen (DE-588)4193754-5 s Merkmalsextraktion (DE-588)4314440-8 s Support-Vektor-Maschine (DE-588)4505517-8 s 1\p DE-604 Stützstelle Mathematik (DE-588)4287204-2 s 2\p DE-604 GMD-Berichte 287 (DE-604)BV010701409 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Schölkopf, Bernhard 1968- Support Vector learning GMD-Berichte Algorithms Machine learning Pattern perception Vector analysis Extraktion (DE-588)4016062-2 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Mustererkennung (DE-588)4040936-3 gnd Merkmal (DE-588)4253132-9 gnd Datenkompression (DE-588)4121121-2 gnd Hilbert-Raum (DE-588)4159850-7 gnd Lernender Automat (DE-588)4167398-0 gnd Klassifikation (DE-588)4030958-7 gnd Stützstelle Mathematik (DE-588)4287204-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4016062-2 (DE-588)4505517-8 (DE-588)4314440-8 (DE-588)4040936-3 (DE-588)4253132-9 (DE-588)4121121-2 (DE-588)4159850-7 (DE-588)4167398-0 (DE-588)4030958-7 (DE-588)4287204-2 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Support Vector learning |
| title_auth | Support Vector learning |
| title_exact_search | Support Vector learning |
| title_full | Support Vector learning Bernhard Schölkopf |
| title_fullStr | Support Vector learning Bernhard Schölkopf |
| title_full_unstemmed | Support Vector learning Bernhard Schölkopf |
| title_short | Support Vector learning |
| title_sort | support vector learning |
| topic | Algorithms Machine learning Pattern perception Vector analysis Extraktion (DE-588)4016062-2 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Mustererkennung (DE-588)4040936-3 gnd Merkmal (DE-588)4253132-9 gnd Datenkompression (DE-588)4121121-2 gnd Hilbert-Raum (DE-588)4159850-7 gnd Lernender Automat (DE-588)4167398-0 gnd Klassifikation (DE-588)4030958-7 gnd Stützstelle Mathematik (DE-588)4287204-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Algorithms Machine learning Pattern perception Vector analysis Extraktion Support-Vektor-Maschine Merkmalsextraktion Mustererkennung Merkmal Datenkompression Hilbert-Raum Lernender Automat Klassifikation Stützstelle Mathematik Maschinelles Lernen Hochschulschrift |
| volume_link | (DE-604)BV010701409 |
| work_keys_str_mv | AT scholkopfbernhard supportvectorlearning |