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02078nam a2200553 a 4500 |
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010315s1998 nyua ob 001 0 eng d |
020 |
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|a 0585357056
|q (electronic bk.)
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020 |
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|a 9780585357058
|q (electronic bk.)
|z 0471030031
|q (acid-free paper)
|q (acid-free paper)
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040 |
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|a N$T
|b eng
|e pn
|z 9780471030034
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050 |
|
4 |
|a Q325.7
|b .V38 1998eb
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100 |
1 |
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|a Vapnik, Vladimir Naumovich.
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245 |
1 |
0 |
|a Statistical learning theory /
|c Vladimir N. Vapnik.
|
260 |
|
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|a New York :
|b Wiley,
|c ©1998.
|
300 |
|
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|a 1 online resource (xxiv, 736 pages) :
|b illustrations.
|
490 |
1 |
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|a Adaptive and learning systems for signal processing, communications, and control
|
500 |
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|a "A Wiley-Interscience publication."
|
504 |
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|a Includes bibliographical references (pages 723-732) and index.
|
650 |
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0 |
|a Computational learning theory.
|
650 |
|
4 |
|a convergence.
|
650 |
|
4 |
|a traitement signal.
|
650 |
|
4 |
|a régression.
|
650 |
|
4 |
|a reconnaissance statistique forme.
|
650 |
|
4 |
|a machine à vecteur support.
|
650 |
|
4 |
|a perceptron.
|
650 |
|
4 |
|a gestion risque.
|
650 |
|
4 |
|a minimisation.
|
650 |
|
4 |
|a mesure probabilistique.
|
650 |
|
4 |
|a problème mal posé
|
650 |
|
4 |
|a inférence statistique.
|
650 |
|
4 |
|a théorie apprentissage.
|
650 |
|
6 |
|a Apprentissage informatique, Théorie de l'
|
650 |
|
7 |
|a COMPUTERS
|x General.
|
650 |
|
7 |
|a Computational learning theory.
|
650 |
1 |
7 |
|a Machine-learning.
|
650 |
1 |
7 |
|a Leertheorieën.
|
650 |
1 |
7 |
|a Théorie de l'apprentissage informatique.
|
650 |
|
7 |
|a Théorie de l'apprentissage.
|
650 |
|
7 |
|a Aspect stratégique.
|
650 |
|
7 |
|a Théorie de l'estimation.
|
650 |
|
7 |
|a Fonction vectorielle.
|
650 |
|
7 |
|a Apprentissage automatique.
|
650 |
|
7 |
|a Induction (logique)
|
650 |
|
7 |
|a Inférence.
|
650 |
0 |
7 |
|a Lerntheorie.
|
650 |
0 |
7 |
|a Mathematische Lerntheorie.
|
856 |
4 |
0 |
|a Statistik.
|u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=26344
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952 |
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|a CY-NiOUC
|b 5a0462076c5ad14ac1ee685a
|c 998a
|d 945l
|e -
|t 1
|x m
|z Books
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