Order Total (1 Item Items):
Shipping Destination:
Variational Bayesian Learning Theory by Nakajima Shinichi (33 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (33)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (11)
- Not Print on Demand (28)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
VARIATIONAL BAYESIAN LEARNING THEORY
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Condition: NEW.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 45.61
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory (Paperback)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Paperback. Condition: new. Paperback. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 49.66
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Variational Bayesian Learning Theory (Paperback or Softback)
Published by Cambridge University Press 2/6/2025, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 44.06
Convert currency£ 8.56 shipping from U.S.A. to United KingdomQuantity: 5 available
Add to basketPaperback or Softback. Condition: New. Variational Bayesian Learning Theory 1.79. Book.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Paperback. Condition: Brand New. 559 pages. 6.00x1.25x9.00 inches. In Stock.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
£ 53.84
Convert currency£ 2.57 shipping from Ireland to United KingdomQuantity: 2 available
Add to basketCondition: New. 2025. paperback. . . . . .
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 42.03
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 47.52
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 64
Convert currency£ 2.23 shipping from U.S.A. to United KingdomQuantity: 2 available
Add to basketCondition: New. 2025. paperback. . . . . . Books ship from the US and Ireland.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
Paperback. Condition: Brand New. 559 pages. 6.00x1.25x9.00 inches. In Stock.
-
Variational Bayesian Learning Theory (Paperback)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 49.53
Convert currency£ 37.22 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Variational Bayesian Learning Theory (Paperback)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 1107430763 ISBN 13: 9781107430761
Language: English
£ 67.57
Convert currency£ 27.54 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 115.24
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: 5 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 124.29
Convert currency£ 11.08 shipping from Netherlands to United KingdomQuantity: 1 available
Add to basketCondition: Very good.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 123.48
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: 5 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 137.15
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New. In.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 138
Convert currency£ 7.44 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Hardcover. Condition: new. Hardcover. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Variational Bayesian Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 126.46
Convert currency£ 27.54 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press CUP, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 161.53
Convert currency£ 6.70 shipping from U.S.A. to United KingdomQuantity: 4 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 122.45
Convert currency£ 55.82 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Variational Bayesian Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 146.54
Convert currency£ 37.22 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Hardcover. Condition: Brand New. 543 pages. 9.50x6.50x1.25 inches. In Stock.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
£ 185.63
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introduction to the theory of variational Bayesian learning summarizes recent developments and suggests practical applications.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Hardcover. Condition: New. New. book.
-
Variational Bayesian Learning Theory
Published by Cambridge University Press, 2019
ISBN 10: 1107076153 ISBN 13: 9781107076150
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 144.64
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 974.
-
Hardcover. Condition: Brand New. 543 pages. 9.50x6.50x1.25 inches. In Stock. This item is printed on demand.
