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Book

Statistical learning theory / (1998)

Vapnik, Vladimir Naumovich 1936-

New York [u.a.] :Wiley,

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UID:

almafu_BV012755299

Format: XXIV, 736 S. : , graph. Darst.

ISBN: 0-471-03003-1 , 978-0-471-03003-4

Series Statement: Adaptive and learning systems for signal processing, communications and control

Language: English

Subjects: Mathematics

RVK:

SK 830

RVK:

SK 840

Keywords: Lerntheorie ; Statistik ; Mathematische Lerntheorie

URL: Publisher description

URL: Table of Contents

URL: Inhaltsverzeichnis

URL: Verlagsangaben

URL: Cover

URL: Inhaltstext

URL: http://www.loc.gov/catdir/toc/onix02/97037075.html

URL: Publisher description

URL: Table of Contents

URL: Publisher description

URL: Table of Contents

Author information: Vapnik, Vladimir Naumovich 1936-

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The nature of statistical learning theory / (2000)

Vapnik, Vladimir N.

New York [u.a.] :Springer,

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UID:

almafu_BV013029684

Format: XIX, 314 S. : graph. Darst.

Edition: 2. ed.

ISBN: 0-387-98780-0

Series Statement: Statistics for engineering and information science

Language: English

Subjects: Mathematics

RVK:

SK 830

Keywords: Mathematische Lerntheorie ; Lerntheorie ; Statistik ; Lernender Automat ; Neuronales Netz ; Denken

URL: Inhaltsverzeichnis

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008876874&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

URL: Inhaltsverzeichnis

URL: Verlagsangaben

URL: Cover

URL: Inhaltstext

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Theorie der Zeichenerkennung : mit 7 Tabellen (1979)

Vapnik, Vladimir N. ; Červonenkis, Aleksej Ja.

Berlin :Akad.-Verl.,

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UID:

almafu_BV002038951

Format: XVI, 343 S. : , Ill., graph. Darst.

Series Statement: Elektronisches Rechnen und Regeln : Sonderband 28

Uniform Title: Teorija raspoznavanija obrazov

Language: German

Subjects: Mathematics

RVK:

SK 830

RVK:

SK 835

Keywords: Zeichenerkennung

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The nature of statistical learning theory / (1995)

Vapnik, Vladimir N.

New York [u.a.] :Springer,

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UID:

almafu_BV010493233

Format: XV, 188 S. : graph. Darst.

ISBN: 0-387-94559-8

Note: Literaturverz. S. 178 - 184

Language: English

Subjects: Mathematics

RVK:

SK 830

Keywords: Mathematische Lerntheorie ; Lerntheorie ; Statistik ; Lernender Automat ; Neuronales Netz ; Denken

URL: Inhaltsverzeichnis

URL: Inhaltstext

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Estimation of dependences based on empirical data / (1982)

Vapnik, Vladimir Naumovich, 1936-

New York [u.a.] :Springer,

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UID:

almahu_BV000090133

Format: XVI, 399 S. : , graph. Darst.

ISBN: 3-540-90733-5 , 0-387-90733-5

Series Statement: Springer Series in statistics

Uniform Title: Vosstanovlenie zavisimostej po ėmpiričeskim dannym

Note: Aus dem Russ. übers.

Language: English

Subjects: Economics , Mathematics

RVK:

QH 233

RVK:

SK 830

Keywords: Schätztheorie ; Statistik

Author information: Vapnik, Vladimir Naumovich, 1936-

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Estimation of dependences based on empirical data (2006)

Vapnik, Vladimir Naumovich [Verfasser] 1936- ; Kotz, Samuel 1930-2010

New York, NY : Springer

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UID:

b3kat_BV022298050

Format: 1 Online-Ressource (xviii, 505 Seiten) , Illustrationen

Edition: [2. ed.], reprint of the 1982 ed.

ISBN: 9780387342399

Series Statement: Information science and statistics

Note: Korrektur durch Meldung einer Bibliothek (Oktober 2023). - Früheres Paket ZDB-2-SMA

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-0-387-30865-4

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-4419-2158-1

Additional Edition: Empirical inference science : afterword of 2006

Language: English

Subjects: Economics , Mathematics

RVK:

QH 233

RVK:

SK 830

Keywords: Schätztheorie ; Statistik

DOI: 10.1007/0-387-34239-7

URL: Volltext (URL des Erstveröffentlichers)

Author information: Vapnik, Vladimir Naumovich 1936-

Author information: Kotz, Samuel 1930-2010

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Theorie der Zeichenerkennung : mit 7 Tab. (1979)

Vapnik, Vladimir Naumovich 1936- ; Červonenkis, Aleksej 1938-2014 ; Vapnik, Vladimir Naumovich 1936-

Berlin : Akademie-Verlag

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UID:

gbv_1081290226

Format: XVI, 343 S. , graph. Darst.

Series Statement: Elektronisches Rechnen und Regeln 28

Uniform Title: Teorija raspoznavanija obrazov 〈dt.〉

Note: Aus d. Russ. übers

Language: German

Subjects: Mathematics

RVK:

SK 820

Keywords: Zeichenerkennung

Author information: Vapnik, Vladimir Naumovich 1936-

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Algoritmy obučenija raspoznavaniju obrazov (1973)

Vapnik, Vladimir N. [Red.] ; Vapnika, V. N.

Moskva : "Sovetskoe Radio"

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UID:

gbv_1168380820

Format: 200 S.

Series Statement: Biblioteka techničeskoj kibernetiki

Note: in Kyrill. Schr., russ

Language: Russian

Subjects: Computer Science

RVK:

ST 130

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The Nature of Statistical Learning Theory (1995)

Vapnik, Vladimir N. ; SpringerLink 〈Online service〉

New York, NY :Springer New York :

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UID:

almahu_9947363217502882

Format: XV, 188 p. 18 illus. , online resource.

ISBN: 9781475724400

Content: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of view of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: - the general setting of learning problems and the general model of minimizing the risk functional from empirical data - a comprehensive analysis of the empirical risk minimization principle and shows how this allows for the construction of necessary and sufficient conditions for consistency - non-asymptotic bounds for the risk achieved using the empirical risk minimization principle - principles for controlling the generalization ability of learning machines using small sample sizes - introducing a new type of universal learning machine that controls the generalization ability.

Note: Introduction: Four Periods in the Research of the Learning Problem -- 1 Setting of the Learning Problem -- 2 Consistency of Learning Processes -- 3 Bounds on the Rate of Convergence of Learning Processes -- 4 Controlling the Generalization Ability of Learning Processes -- 5 Constructing Learning Algorithms -- Conclusion: What is Important in Learning Theory? -- References -- Remarks on References -- References.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9781475724424

Language: English

DOI: 10.1007/978-1-4757-2440-0

URL: http://dx.doi.org/10.1007/978-1-4757-2440-0

URL: Volltext

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Book

The nature of statistical learning theory (1998)

Vapnik, Vladimir N. [Verfasser]

New York [u.a.] : Springer

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UID:

b3kat_BV012516441

Format: XV, 193 S. , graph. Darst.

Edition: Corr. 2. print.

ISBN: 0387945598

Note: Literaturverz. S. 178 - 184

Language: English

Subjects: Mathematics

RVK:

SK 830

Keywords: Mathematische Lerntheorie ; Lerntheorie ; Statistik ; Lernender Automat ; Neuronales Netz ; Denken

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