Pattern recognition and neural networks:
This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing,...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
[2014]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1017/CBO9780511812651 https://doi.org/10.1017/CBO9780511812651 https://doi.org/10.1017/CBO9780511812651 https://doi.org/10.1017/CBO9780511812651 https://doi.org/10.1017/CBO9780511812651 https://doi.org/10.1017/CBO9780511812651 |
| Zusammenfassung: | This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists |
| Umfang: | 1 Online-Ressource (xi, 403 Seiten) |
| ISBN: | 9780511812651 |
| DOI: | 10.1017/CBO9780511812651 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043943508 | ||
| 003 | DE-604 | ||
| 005 | 20241106 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 161206s2014 xx o|||| 00||| eng d | ||
| 020 | |a 9780511812651 |c Online |9 978-0-511-81265-1 | ||
| 024 | 7 | |a 10.1017/CBO9780511812651 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9780511812651 | ||
| 035 | |a (OCoLC)967777994 | ||
| 035 | |a (DE-599)BVBBV043943508 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-12 |a DE-29 |a DE-92 |a DE-739 |a DE-91 | ||
| 082 | 0 | |a 006.4 |2 20 | |
| 084 | |a QH 700 |0 (DE-625)141608: |2 rvk | ||
| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 084 | |a DAT 770 |2 stub | ||
| 100 | 1 | |a Ripley, Brian D. |d 1952- |e Verfasser |0 (DE-588)124271413 |4 aut | |
| 245 | 1 | 0 | |a Pattern recognition and neural networks |c B. D. Ripley |
| 246 | 1 | 3 | |a Pattern Recognition & Neural Networks |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c [2014] | |
| 264 | 4 | |c © 1996 | |
| 300 | |a 1 Online-Ressource (xi, 403 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists | ||
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 4 | |a Pattern recognition systems | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistische Entscheidungstheorie |0 (DE-588)4077850-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 2 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 1 | 1 | |a Statistische Entscheidungstheorie |0 (DE-588)4077850-2 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-521-46086-6 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 978-0-521-71770-0 |
| 856 | 4 | 0 | |u https://doi.org/10.1017/CBO9780511812651 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 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:BVB01-029352479 | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511812651 |l DE-12 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511812651 |l DE-92 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511812651 |l DE-91 |p ZDB-20-CBO |q TUM_Einzelkauf_2024 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511812651 |l DE-29 |p ZDB-20-CBO |q UER_PDA_CBO_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9780511812651 |l DE-739 |p ZDB-20-CBO |q UPA_PDA_CBO_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2831084 |
|---|---|
| _version_ | 1821937242713620480 |
| any_adam_object | |
| author | Ripley, Brian D. 1952- |
| author_GND | (DE-588)124271413 |
| author_facet | Ripley, Brian D. 1952- |
| author_role | aut |
| author_sort | Ripley, Brian D. 1952- |
| author_variant | b d r bd bdr |
| building | Verbundindex |
| bvnumber | BV043943508 |
| classification_rvk | QH 700 ST 301 ST 330 |
| classification_tum | DAT 770 |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9780511812651 (OCoLC)967777994 (DE-599)BVBBV043943508 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511812651 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03891nam a2200661zc 4500</leader><controlfield tag="001">BV043943508</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20241106 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">161206s2014 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780511812651</subfield><subfield code="c">Online</subfield><subfield code="9">978-0-511-81265-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9780511812651</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9780511812651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)967777994</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043943508</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-12</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4</subfield><subfield code="2">20</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 700</subfield><subfield code="0">(DE-625)141608:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 301</subfield><subfield code="0">(DE-625)143651:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 770</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ripley, Brian D.</subfield><subfield code="d">1952-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)124271413</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Pattern recognition and neural networks</subfield><subfield code="c">B. D. Ripley</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Pattern Recognition & Neural Networks</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">[2014]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 1996</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xi, 403 Seiten)</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="520" ind1=" " ind2=" "><subfield code="a">This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition systems</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">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistische Entscheidungstheorie</subfield><subfield code="0">(DE-588)4077850-2</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="689" ind1="0" 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="0" 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="0" ind2="2"><subfield code="a">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</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">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Statistische Entscheidungstheorie</subfield><subfield code="0">(DE-588)4077850-2</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="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-521-46086-6</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">978-0-521-71770-0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</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:BVB01-029352479</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="l">DE-12</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">TUM_Einzelkauf_2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UER_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9780511812651</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UPA_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043943508 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:49:21Z |
| institution | BVB |
| isbn | 9780511812651 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029352479 |
| oclc_num | 967777994 |
| open_access_boolean | |
| owner | DE-12 DE-29 DE-92 DE-739 DE-91 DE-BY-TUM |
| owner_facet | DE-12 DE-29 DE-92 DE-739 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xi, 403 Seiten) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO TUM_Einzelkauf_2024 ZDB-20-CBO UER_PDA_CBO_Kauf ZDB-20-CBO UPA_PDA_CBO_Kauf |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Cambridge University Press |
| record_format | marc |
| spellingShingle | Ripley, Brian D. 1952- Pattern recognition and neural networks Neural networks (Computer science) Pattern recognition systems Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Mustererkennung (DE-588)4040936-3 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4226127-2 (DE-588)4077850-2 (DE-588)4040936-3 |
| title | Pattern recognition and neural networks |
| title_alt | Pattern Recognition & Neural Networks |
| title_auth | Pattern recognition and neural networks |
| title_exact_search | Pattern recognition and neural networks |
| title_full | Pattern recognition and neural networks B. D. Ripley |
| title_fullStr | Pattern recognition and neural networks B. D. Ripley |
| title_full_unstemmed | Pattern recognition and neural networks B. D. Ripley |
| title_short | Pattern recognition and neural networks |
| title_sort | pattern recognition and neural networks |
| topic | Neural networks (Computer science) Pattern recognition systems Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Mustererkennung (DE-588)4040936-3 gnd |
| topic_facet | Neural networks (Computer science) Pattern recognition systems Maschinelles Lernen Neuronales Netz Statistische Entscheidungstheorie Mustererkennung |
| url | https://doi.org/10.1017/CBO9780511812651 |
| work_keys_str_mv | AT ripleybriand patternrecognitionandneuralnetworks AT ripleybriand patternrecognitionneuralnetworks |