Kazuho (129 resultados)

Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New. This is a new book. All orders ship by next business day! We are a small company and very thankful for your business.

Hardcover. Condición: Very Good +. First English language edition. Tight binding. No chips, tears, creases or written inscriptions. Red coverboards with gilt lettering. Beautiful japanes paper endpapers. Light soiling on coverboards. Size: Sm 4to (9" to 11). Kazuho Heida (ilustrador).

Hardcover. Condición: Very Good. No Jacket. 1st Edition. Very good condition hard cover no dust jacket Red cloth with bright gilt lettering small owner's stamp to first endpaper.

Condición: New.

Tankobon Hardcover. Condición: Very Good. Estado de la sobrecubierta: Good. Very Good in Good unclipped dust jacket. Dust jacket is shelfworn with curling, crease and tears at edges and bumped corners. Light water staining at inside of dj at bottom edge but does not affect pages. Gently used. Boards are rubbed at bottom edges. NO markings in text. Binding is sturdy. Pasadena's finest independent new and used bookstore.…

Paperback. Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. 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.…

Paperback. Condición: New. 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.…

paperback. Condición: New.

Paperback. Condición: Good.

Comic. Condición: Brand New. Japanese language. 8.19x5.83x0.55 inches. In Stock.

Condición: New.

Paperback. Condición: Brand New. 559 pages. 6.00x1.25x9.00 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 559 pages. 6.00x1.25x9.00 inches. In Stock.

Tankobon Hardcover. Condición: Brand New. Japanese language. 8.19x5.91x0.71 inches. In Stock.

Paperback. Condición: New. 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.…

Paperback. Condición: Very Good.

Condición: Very Good.

Paperback. Condición: New. 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.…

Condición: Fine. KOS00600088.

Condición: Fine. Number of books: 1.

Condición: Fine. Number of pages: 16 Pages Size: A4.

Condición: Fine. The book is in fine condition.