Vendeur : Dream Books Co., Denver, CO, Etats-Unis
EUR 11,32
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Ajouter au panierEtat : good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
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Ajouter au panierhardcover. Etat : Good. This is a used book in good condition and may show some signs of use or wear . This is a used book in good condition and may show some signs of use or wear .
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 89,42
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Ajouter au panierEtat : New.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 94,67
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
EUR 97,70
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Ajouter au panierHardcover. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 85,93
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Royaume-Uni
EUR 79,15
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Ajouter au panierEtat : Fine. Light scuffs & scratches to the hardcover. Faint marks to the edges of the textblock. Content is in very good, clean condition/like new.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 85,92
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Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 2nd edition. 1071 pages. 9.25x7.50x2.25 inches. In Stock.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 100,41
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Elsevier Science Publishing Co Inc, 2020
ISBN 10 : 0128188030 ISBN 13 : 9780128188033
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 110,01
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Ajouter au panierEtat : New. 2020. 2nd Edition. Hardcover. . . . . .
Edité par Elsevier Science Publishing Co Inc, 2020
ISBN 10 : 0128188030 ISBN 13 : 9780128188033
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 138,31
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Ajouter au panierEtat : New. 2020. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Edité par Elsevier Science Jul 2020, 2020
ISBN 10 : 0128188030 ISBN 13 : 9780128188033
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 107,97
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Ajouter au panierBuch. Etat : Neu. Neuware - Presents the physical reasoning, mathematical modeling and algorithmic implementation of each method Updates on the latest trends, including sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling Provides case studies on a variety of topics, including protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, and more.
EUR 102,61
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Ajouter au panierGebunden. Etat : New. Über den AutorSergios Theodoridis is professor of machine learning and signal processing with the National and Kapodistrian University of Athens, Athens, Greece and with the Chinese University of Hong Kong, Shenzhen, China.H.
ISBN 10 : 7111692578 ISBN 13 : 9787111692577
Langue: anglais
Vendeur : liu xing, Nanjing, JS, Chine
EUR 272,54
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Ajouter au panierpaperback. Etat : New. Paperback.Pub Date:2022-01-01 Pages:828 Language:Chinese Publisher:Machinery Industry Press Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition) for all important machine learning methods and recent research The trend has been deeply explored. By explaining the two pillars of supervised learningregression and classification. these complicated methods are opened up one by one from a panoramic perspective. forming a clear machine learning knowledge system. The new edi.
Edité par Machinery Industry Press, 2022
ISBN 10 : 7111692578 ISBN 13 : 9787111692577
Vendeur : liu xing, Nanjing, JS, Chine
EUR 272,54
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback.Pub Date:2022-01-01 Pages:828 Language:Chinese Publisher:Machinery Industry Press Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition) for all important machine learning methods and recent research The trend has been deeply explored. By explaining the two pillars of supervised learningregression and classification. these complicated methods are opened up one by one from a panoramic perspective. forming a clear machine learning knowledge system. The new edi.
Vendeur : liu xing, Nanjing, JS, Chine
EUR 289,32
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2020-12-01 Pages:1152 Publisher: Machinery Industry Press This book introduces the two pillars of supervised learning-regression and classification-and brings machine learning into a unified perspective to discuss.?The book first discusses basic knowledge. including mean squares. *small squares and maximum likelihood methods. ridge regression. Bayesian decision theory classification. logistic regression. and decision trees.?Then introduce the latest techn.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 109,66
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization techniques - together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models. The book presents the major machine learning methods as they have been developed in different disciplines, such as statistics, statistical and adaptive signal processing and computer science. Focusing on the physical reasoning behind the mathematics, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts.The book builds carefully from the basic classical methods to the most recent trends, with chapters written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as short courses on sparse modeling, deep learning, and probabilistic graphical models.All major classical techniques: Mean/Least-Squares regression and filtering, Kalman filtering, stochastic approximation and online learning, Bayesian classification, decision trees, logistic regression and boosting methods.The latest trends: Sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling.Case studies - protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, channel equalization and echo cancellation, show how the theory can be applied.MATLAB code for all the main algorithms are available on an accompanying website, enabling the reader to experiment with the code.