S. Y. Kung Kernel Methods and Machine Learning

ISBN 13 : 9781107024960

Kernel Methods and Machine Learning

Note moyenne 3
( 2 avis fournis par GoodReads )
 
9781107024960: Kernel Methods and Machine Learning
Présentation de l'éditeur :

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Biographie de l'auteur :

S. Y. Kung is a Professor in the Department of Electrical Engineering at Princeton University. His research areas include VLSI array/parallel processors, system modeling and identification, wireless communication, statistical signal processing, multimedia processing, sensor networks, bioinformatics, data mining and machine learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Acheter neuf Afficher le livre
EUR 58,40

Autre devise

Frais de port : EUR 10,38
De Royaume-Uni vers Etats-Unis

Destinations, frais et délais

Ajouter au panier

Meilleurs résultats de recherche sur AbeBooks

1.

Kung, S. Y.
Edité par Cambridge University Press (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Quantité : 7
Vendeur
Books2Anywhere
(Fairford, GLOS, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre Cambridge University Press, 2014. HRD. État : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du libraire FM-9781107024960

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 58,40
Autre devise

Ajouter au panier

Frais de port : EUR 10,38
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

2.

Kung, S. Y.
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Quantité : 3
Vendeur
GreatBookPrices
(Columbia, MD, Etats-Unis)
Evaluation vendeur
[?]

Description du livre État : New. N° de réf. du libraire 19977914-n

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 68,33
Autre devise

Ajouter au panier

Frais de port : EUR 2,43
Vers Etats-Unis
Destinations, frais et délais

3.

Kung, S. Y.
Edité par Cambridge University Press (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
Irish Booksellers
(Rumford, ME, Etats-Unis)
Evaluation vendeur
[?]

Description du livre Cambridge University Press, 2014. Hardcover. État : New. book. N° de réf. du libraire 110702496X

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 70,96
Autre devise

Ajouter au panier

Frais de port : Gratuit
Vers Etats-Unis
Destinations, frais et délais

4.

S. y. Kung
Edité par CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
The Book Depository US
(London, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2014. Hardback. État : New. 252 x 180 mm. Language: English . Brand New Book. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. N° de réf. du libraire AAA9781107024960

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 71,17
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

5.

S. y. Kung
Edité par CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
The Book Depository
(London, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2014. Hardback. État : New. 252 x 180 mm. Language: English . Brand New Book. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. N° de réf. du libraire AAA9781107024960

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 71,21
Autre devise

Ajouter au panier

Frais de port : Gratuit
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

6.

S. Y. Kung
Edité par Cambridge University Press 2014-04-17 (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Quantité : 2
Vendeur
Chiron Media
(Wallingford, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre Cambridge University Press 2014-04-17, 2014. État : New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. N° de réf. du libraire NU-LBR-01357236

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 69,25
Autre devise

Ajouter au panier

Frais de port : EUR 3,45
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

7.

Kung, S. Y.
Edité par Cambridge Univ Pr (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
Revaluation Books
(Exeter, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre Cambridge Univ Pr, 2014. Hardcover. État : Brand New. 591 pages. 10.00x6.00x1.00 inches. In Stock. N° de réf. du libraire __110702496X

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 78,17
Autre devise

Ajouter au panier

Frais de port : EUR 6,92
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

8.

Kung, S. Y.
Edité par Cambridge University Press (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
English-Book-Service Mannheim
(Mannheim, Allemagne)
Evaluation vendeur
[?]

Description du livre Cambridge University Press, 2014. État : New. N° de réf. du libraire L9781107024960

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 79,48
Autre devise

Ajouter au panier

Frais de port : EUR 6
De Allemagne vers Etats-Unis
Destinations, frais et délais

9.

S. Y. Kung
Edité par Cambridge University Pr. Apr 2014 (2014)
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Quantité : 1
Vendeur
Evaluation vendeur
[?]

Description du livre Cambridge University Pr. Apr 2014, 2014. Buch. État : Neu. 254x175x30 mm. Neuware - Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. 572 pp. Englisch. N° de réf. du libraire 9781107024960

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 73,99
Autre devise

Ajouter au panier

Frais de port : EUR 12
De Allemagne vers Etats-Unis
Destinations, frais et délais

10.

S. Y. KUNG
ISBN 10 : 110702496X ISBN 13 : 9781107024960
Neuf(s) Couverture rigide Quantité : 1
Vendeur
Herb Tandree Philosophy Books
(Stroud, GLOS, Royaume-Uni)
Evaluation vendeur
[?]

Description du livre 2014. Hardback. État : NEW. 9781107024960 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. N° de réf. du libraire HTANDREE0541872

Plus d'informations sur ce vendeur | Poser une question au libraire

Acheter neuf
EUR 78,84
Autre devise

Ajouter au panier

Frais de port : EUR 9,23
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

autres exemplaires de ce livre sont disponibles

Afficher tous les résultats pour ce livre