Algebraic Geometry Statistical Learning by Watanabe Sumio (15 results)
- Hardcover
Seller: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
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Condition: Like New. hardcover. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Fine, like new condition. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
- Hardcover
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- Hardcover
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- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 300 pages, 13 b/w illus. BIC Classification: PBMW; UYQM. Category: (UU) Undergraduate. Dimension: 237 x 159 x 2…1. Weight in Grams: 540. . 2009. Illustrated. hardcover. . . . .
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 300 pages, 13 b/w illus. BIC Classification: PBMW; UYQM. Category: (UU) Undergraduate. Dimension: 237 x 159 x 2…1. Weight in Grams: 540. . 2009. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 1st edition. 300 pages. 9.00x6.25x1.00 inches. In Stock.
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 1st edition. 300 pages. 9.00x6.25x1.00 inches. In Stock. This item is printed on demand.
- Hardcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Hardcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Hardcover. Condition: new. Hardcover. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Ba…yesian networks, and stochastic context-free grammars are major examples. Algebraic geometry and singularity theory provide the necessary tools for studying such non-smooth models. Four main formulas are established: 1. the log likelihood function can be given a common standard form using resolution of singularities, even applied to more complex models; 2. the asymptotic behaviour of the marginal likelihood or 'the evidence' is derived based on zeta function theory; 3. new methods are derived to estimate the generalization errors in Bayes and Gibbs estimations from training errors; 4. the generalization errors of maximum likelihood and a posteriori methods are clarified by empirical process theory on algebraic varieties. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
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Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMM…s, and Bayesian networks are major examples. The .
More images- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 141.13
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Buch. Condition: Neu. Algebraic Geometry and Statistical Learning Theory | Sumio Watanabe | Buch | Gebunden | Englisch | 2017 | Cambridge University Press | EAN 9780521864671 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
