Support vector learning:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | German |
Veröffentlicht: |
München ; Wien
Oldenbourg
1997
|
Schriftenreihe: | GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte
287 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | 173 S. graph. Darst. |
ISBN: | 3486246321 |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV011637919 | ||
003 | DE-604 | ||
005 | 20151215 | ||
007 | t | ||
008 | 971110s1997 gw d||| m||| 00||| ger d | ||
016 | 7 | |a 952015323 |2 DE-101 | |
020 | |a 3486246321 |c brosch. : ca. DM 51.00, ca. sfr 44.00, ca. S 372.00 |9 3-486-24632-1 | ||
035 | |a (OCoLC)39472591 | ||
035 | |a (DE-599)BVBBV011637919 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a ger | |
044 | |a gw |c DE | ||
049 | |a DE-91G |a DE-91 |a DE-12 |a DE-739 |a DE-29T |a DE-83 |a DE-11 | ||
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 | ||
084 | |a DAT 708d |2 stub | ||
084 | |a DAT 776d |2 stub | ||
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. GMD-Forschungszentrum Informationstechnik GmbH |
264 | 1 | |a München ; Wien |b Oldenbourg |c 1997 | |
300 | |a 173 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte |v 287 | |
502 | |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 Mustererkennung |0 (DE-588)4040936-3 |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 Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |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 Support-Vektor-Maschine |0 (DE-588)4505517-8 |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 Extraktion |0 (DE-588)4016062-2 |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 |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
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 Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
689 | 0 | 3 | |a Support-Vektor-Maschine |0 (DE-588)4505517-8 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
689 | 1 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 1 | 2 | |a Stützstelle |g Mathematik |0 (DE-588)4287204-2 |D s |
689 | 1 | |5 DE-604 | |
689 | 2 | 0 | |a Extraktion |0 (DE-588)4016062-2 |D s |
689 | 2 | |8 1\p |5 DE-604 | |
689 | 3 | 0 | |a Merkmal |0 (DE-588)4253132-9 |D s |
689 | 3 | |8 2\p |5 DE-604 | |
689 | 4 | 0 | |a Lernender Automat |0 (DE-588)4167398-0 |D s |
689 | 4 | |8 3\p |5 DE-604 | |
689 | 5 | 0 | |a Hilbert-Raum |0 (DE-588)4159850-7 |D s |
689 | 5 | |8 4\p |5 DE-604 | |
689 | 6 | 0 | |a Klassifikation |0 (DE-588)4030958-7 |D s |
689 | 6 | |8 5\p |5 DE-604 | |
689 | 7 | 0 | |a Datenkompression |0 (DE-588)4121121-2 |D s |
689 | 7 | |8 6\p |5 DE-604 | |
830 | 0 | |a GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte |v 287 |w (DE-604)BV010701409 |9 287 | |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007843151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
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 | |
883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 5\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 6\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1805067952971579392 |
---|---|
adam_text |
CONTENTS
SUMMARY
11
1
INTRODUCTION
AND
PRELIMINARIES
15
1.1
LEARNING
PATTERN
RECOGNITION
.
15
1.2
STATISTICAL
LEARNING
THEORY
.
21
1.3
FEATURE
SPACE
MATHEMATICS
.
24
2
SUPPORT
VECTOR
MACHINES
33
2.1
THE
SUPPORT
VECTOR
ALGORITHM
.
33
2.2
OBJECT
RECOGNITION
RESULTS
.
46
2.3
DIGIT
RECOGNITION
USING
DIFFERENT
KERNELS
.
56
2.4
UNIVERSALITY
OF
THE
SUPPORT
VECTOR
SET
.
57
2.5
COMPARISON
TO
CLASSICAL
RBF
NETWORKS
.
61
2.6
MODEL
SELECTION
.
69
2.7
WHY
DO
SV
MACHINES
WORK
WELL?
.
76
3
KERNEL
PRINCIPAL
COMPONENT
ANALYSIS
79
3.1
INTRODUCTION
.
79
3.2
PRINCIPAL
COMPONENT
ANALYSIS
IN
FEATURE
SPACES
.
80
3.3
KERNEL
PRINCIPAL
COMPONENT
ANALYSIS
.
83
3.4
FEATURE
EXTRACTION
EXPERIMENTS
.
89
3.5
DISCUSSION
.
96
4
PRIOR
KNOWLEDGE
IN
SUPPORT
VECTOR
MACHINES
99
4.1
INTRODUCTION
.
99
4.2
INCORPORATING
TRANSFORMATION
INVARIANCES
.
100
4.3
IMAGE
LOCALITY
AND
LOCAL
FEATURE
EXTRACTORS
.
109
4.4
EXPERIMENTAL
RESULTS
.
110
4.5
DISCUSSION
.
120
5
CONCLUSION
125
A
OBJECT
DATABASES
127
B
OBJECT
RECOGNITION
RESULTS
137
C
HANDWRITTEN
CHARACTER
DATABASES
149
D
TECHNICAL
ADDENDA
153
D.L
FEATURE
SPACE
AND
KERNELS
.
153
D.2
KERNEL
PRINCIPAL
COMPONENT
ANALYSIS
.
158
D.3
ON
THE
TANGENT
COVARIANCE
MATRIX
.
161
BIBLIOGRAPHY
165 |
any_adam_object | 1 |
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 | BV011637919 |
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 |
classification_tum | DAT 708d DAT 776d |
ctrlnum | (OCoLC)39472591 (DE-599)BVBBV011637919 |
discipline | Informatik Mathematik Wirtschaftswissenschaften |
format | Thesis 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">BV011637919</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20151215</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">971110s1997 gw d||| m||| 00||| ger d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">952015323</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3486246321</subfield><subfield code="c">brosch. : ca. DM 51.00, ca. sfr 44.00, ca. S 372.00</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)BVBBV011637919</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">ger</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-11</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="084" ind1=" " ind2=" "><subfield code="a">DAT 708d</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 776d</subfield><subfield code="2">stub</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. GMD-Forschungszentrum Informationstechnik GmbH</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München ; Wien</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">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-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte</subfield><subfield code="v">287</subfield></datafield><datafield tag="502" 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">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">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">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">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">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">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">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">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">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="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">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">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" 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="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" 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="1" 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="1" 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="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" 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="2" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" 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="3" ind2=" "><subfield code="8">2\p</subfield><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="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="5" 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="5" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="6" 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="6" ind2=" "><subfield code="8">5\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="7" 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="7" ind2=" "><subfield code="8">6\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte</subfield><subfield code="v">287</subfield><subfield code="w">(DE-604)BV010701409</subfield><subfield code="9">287</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007843151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</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="883" ind1="1" ind2=" "><subfield code="8">3\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">4\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">5\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">6\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> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV011637919 |
illustrated | Illustrated |
indexdate | 2024-07-20T03:42:24Z |
institution | BVB |
isbn | 3486246321 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007843151 |
oclc_num | 39472591 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-12 DE-739 DE-29T DE-83 DE-11 |
owner_facet | DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-12 DE-739 DE-29T DE-83 DE-11 |
physical | 173 S. graph. Darst. |
publishDate | 1997 |
publishDateSearch | 1997 |
publishDateSort | 1997 |
publisher | Oldenbourg |
record_format | marc |
series | GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte |
series2 | GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte |
spelling | Schölkopf, Bernhard 1968- Verfasser (DE-588)14184633X aut Support vector learning Bernhard Schölkopf. GMD-Forschungszentrum Informationstechnik GmbH München ; Wien Oldenbourg 1997 173 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte 287 Zugl.: Berlin, Techn. Univ., Diss., 1997 Algorithms Machine learning Pattern perception Vector analysis Mustererkennung (DE-588)4040936-3 gnd rswk-swf Lernender Automat (DE-588)4167398-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Hilbert-Raum (DE-588)4159850-7 gnd rswk-swf Support-Vektor-Maschine (DE-588)4505517-8 gnd rswk-swf Merkmal (DE-588)4253132-9 gnd rswk-swf Datenkompression (DE-588)4121121-2 gnd rswk-swf Extraktion (DE-588)4016062-2 gnd rswk-swf Klassifikation (DE-588)4030958-7 gnd rswk-swf Stützstelle Mathematik (DE-588)4287204-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content 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 DE-604 Stützstelle Mathematik (DE-588)4287204-2 s Extraktion (DE-588)4016062-2 s 1\p DE-604 Merkmal (DE-588)4253132-9 s 2\p DE-604 Lernender Automat (DE-588)4167398-0 s 3\p DE-604 Hilbert-Raum (DE-588)4159850-7 s 4\p DE-604 Klassifikation (DE-588)4030958-7 s 5\p DE-604 Datenkompression (DE-588)4121121-2 s 6\p DE-604 GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte 287 (DE-604)BV010701409 287 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007843151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Schölkopf, Bernhard 1968- Support vector learning GMD-Forschungszentrum Informationstechnik <Sankt Augustin>: GMD-Berichte Algorithms Machine learning Pattern perception Vector analysis Mustererkennung (DE-588)4040936-3 gnd Lernender Automat (DE-588)4167398-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Hilbert-Raum (DE-588)4159850-7 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Merkmal (DE-588)4253132-9 gnd Datenkompression (DE-588)4121121-2 gnd Extraktion (DE-588)4016062-2 gnd Klassifikation (DE-588)4030958-7 gnd Stützstelle Mathematik (DE-588)4287204-2 gnd |
subject_GND | (DE-588)4040936-3 (DE-588)4167398-0 (DE-588)4193754-5 (DE-588)4314440-8 (DE-588)4159850-7 (DE-588)4505517-8 (DE-588)4253132-9 (DE-588)4121121-2 (DE-588)4016062-2 (DE-588)4030958-7 (DE-588)4287204-2 (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. GMD-Forschungszentrum Informationstechnik GmbH |
title_fullStr | Support vector learning Bernhard Schölkopf. GMD-Forschungszentrum Informationstechnik GmbH |
title_full_unstemmed | Support vector learning Bernhard Schölkopf. GMD-Forschungszentrum Informationstechnik GmbH |
title_short | Support vector learning |
title_sort | support vector learning |
topic | Algorithms Machine learning Pattern perception Vector analysis Mustererkennung (DE-588)4040936-3 gnd Lernender Automat (DE-588)4167398-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Hilbert-Raum (DE-588)4159850-7 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Merkmal (DE-588)4253132-9 gnd Datenkompression (DE-588)4121121-2 gnd Extraktion (DE-588)4016062-2 gnd Klassifikation (DE-588)4030958-7 gnd Stützstelle Mathematik (DE-588)4287204-2 gnd |
topic_facet | Algorithms Machine learning Pattern perception Vector analysis Mustererkennung Lernender Automat Maschinelles Lernen Merkmalsextraktion Hilbert-Raum Support-Vektor-Maschine Merkmal Datenkompression Extraktion Klassifikation Stützstelle Mathematik Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007843151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV010701409 |
work_keys_str_mv | AT scholkopfbernhard supportvectorlearning |