Semi-supervised learning:
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Cambridge, Mass.
MIT Press
c2006
|
| Series: | Adaptive computation and machine learning
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Includes bibliographical references (p. [479]-497) A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research |
| Physical Description: | 1 Online-Ressource (x, 508 p.) |
| ISBN: | 9780262255899 0262255898 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042957137 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 151029s2006 |||| o||u| ||||||eng d | ||
| 020 | |a 9780262255899 |c electronic bk. |9 978-0-262-25589-9 | ||
| 020 | |a 0262255898 |c electronic bk. |9 0-262-25589-8 | ||
| 035 | |a (OCoLC)76824411 | ||
| 035 | |a (DE-599)BVBBV042957137 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 006.3/1 |2 22 | |
| 245 | 1 | 0 | |a Semi-supervised learning |c [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien |
| 264 | 1 | |a Cambridge, Mass. |b MIT Press |c c2006 | |
| 300 | |a 1 Online-Ressource (x, 508 p.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Adaptive computation and machine learning | |
| 500 | |a Includes bibliographical references (p. [479]-497) | ||
| 500 | |a A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research | ||
| 650 | 7 | |a COMPUTERS / Enterprise Applications / Business Intelligence Tools |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics |2 bisacsh | |
| 650 | 7 | |a Supervised learning (Machine learning) |2 fast | |
| 650 | 4 | |a Supervised learning (Machine learning) | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 700 | 1 | |a Chapelle, Olivier |e Sonstige |4 oth | |
| 700 | 1 | |a Schölkopf, Bernhard |e Sonstige |4 oth | |
| 700 | 1 | |a Zien, Alexander |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=170037 |x Aggregator |3 Volltext |
| 912 | |a ZDB-4-EBU | ||
| 940 | 1 | |q FLA_PDA_EBU | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028383054 | ||
| 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 | |
Record in the Search Index
| _version_ | 1804175275343216640 |
|---|---|
| any_adam_object | |
| building | Verbundindex |
| bvnumber | BV042957137 |
| collection | ZDB-4-EBU |
| ctrlnum | (OCoLC)76824411 (DE-599)BVBBV042957137 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02276nmm a2200505zc 4500</leader><controlfield tag="001">BV042957137</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151029s2006 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262255899</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-262-25589-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0262255898</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-262-25589-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)76824411</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042957137</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">22</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Semi-supervised learning</subfield><subfield code="c">[edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Mass.</subfield><subfield code="b">MIT Press</subfield><subfield code="c">c2006</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (x, 508 p.)</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">Adaptive computation and machine learning</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (p. [479]-497)</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Enterprise Applications / Business Intelligence Tools</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Intelligence (AI) & Semantics</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Supervised learning (Machine learning)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Supervised learning (Machine learning)</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="650" ind1="0" ind2="7"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</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="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chapelle, Olivier</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schölkopf, Bernhard</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zien, Alexander</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=170037</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBU</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_EBU</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028383054</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></record></collection> |
| id | DE-604.BV042957137 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:13:42Z |
| institution | BVB |
| isbn | 9780262255899 0262255898 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028383054 |
| oclc_num | 76824411 |
| open_access_boolean | |
| physical | 1 Online-Ressource (x, 508 p.) |
| psigel | ZDB-4-EBU FLA_PDA_EBU |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | MIT Press |
| record_format | marc |
| series2 | Adaptive computation and machine learning |
| spelling | Semi-supervised learning [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien Cambridge, Mass. MIT Press c2006 1 Online-Ressource (x, 508 p.) txt rdacontent c rdamedia cr rdacarrier Adaptive computation and machine learning Includes bibliographical references (p. [479]-497) A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Supervised learning (Machine learning) fast Supervised learning (Machine learning) Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Überwachtes Lernen (DE-588)4580264-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 Überwachtes Lernen (DE-588)4580264-6 s 2\p DE-604 Chapelle, Olivier Sonstige oth Schölkopf, Bernhard Sonstige oth Zien, Alexander Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=170037 Aggregator Volltext 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 | Semi-supervised learning COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Supervised learning (Machine learning) fast Supervised learning (Machine learning) Maschinelles Lernen (DE-588)4193754-5 gnd Überwachtes Lernen (DE-588)4580264-6 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4580264-6 |
| title | Semi-supervised learning |
| title_auth | Semi-supervised learning |
| title_exact_search | Semi-supervised learning |
| title_full | Semi-supervised learning [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien |
| title_fullStr | Semi-supervised learning [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien |
| title_full_unstemmed | Semi-supervised learning [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien |
| title_short | Semi-supervised learning |
| title_sort | semi supervised learning |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Supervised learning (Machine learning) fast Supervised learning (Machine learning) Maschinelles Lernen (DE-588)4193754-5 gnd Überwachtes Lernen (DE-588)4580264-6 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Supervised learning (Machine learning) Maschinelles Lernen Überwachtes Lernen |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=170037 |
| work_keys_str_mv | AT chapelleolivier semisupervisedlearning AT scholkopfbernhard semisupervisedlearning AT zienalexander semisupervisedlearning |