9780198524229 - Statistics and Neural Networks: Advances at the Interface (Royal Statistical Society Lecture Notes Series, 5) de Kay, J. W.; Titterington, D. M. (25 resultados)

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780198524229.

Hardcover. Condición: Good. Estado de la sobrecubierta: Good. Condition : Good. Former university library copy with associated markings. Hard cover. 260pp. No annotations or highlighting. Corners pressed/shelf wear. Photo on request.

Hardcover. Condición: New. 1st Edition. New book, never read. Pages clean and crisp, spine unbroken. 0120A.

Condición: New.

Hardcover. Condición: New. In shrink wrap. Looks like an interesting title!

Condición: As New. Unread book in perfect condition.

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Condición: As New. Unread book in perfect condition.

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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applications of the research to complex problemsin areas of engineering, computer science, finance, and other subjects. This book gives up-to-the-minute coverage on the research developing at this interface, drawing together contributions by leading workers in the two fields. Their contributions show a strong awareness of the common ground ofthese two subjects and of the advantages to be gained by taking this wider perspective. Topics that are covered include: non-linear approaches to discriminant analysis, techniques for optimizing predictions, approaches to the analysis of latent structure, including probabilistic principal componentanalysis, density networks and the use of multiple latent variables, and a substantial chapter outlining techniques and their application in industrial case-studies. This volume is an authoritative voice on the current status, importance of applications, and directions for future research in thisarea of synergistic science and will be an invaluable resource for those presently working in statistics and neural computing.

Condición: New. In.

Condición: New. This volume brings together proponents in the statistical and neural network research communities and provides an overview of developments in the field of neural networks. The book is intended for graduate students and researchers in statistics, neural networks and artificial intelligence. Num Pages: 280 pages, 5 halftones, numerous line figures. BIC Classification: PBT; UFM; UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 21. Weight in Grams: 625. . 2000. Illustrated. hardcover. . . . .

Condición: New. This volume brings together proponents in the statistical and neural network research communities and provides an overview of developments in the field of neural networks. The book is intended for graduate students and researchers in statistics, neural networks and artificial intelligence. Num Pages: 280 pages, 5 halftones, numerous line figures. BIC Classification: PBT; UFM; UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 21. Weight in Grams: 625. . 2000. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Condición: new. Questo è un articolo print on demand.

Hardcover. Condición: new. Hardcover. Recent years have seen a growing awareness of the interface between statistical research and recent advances in neural computing and artifical neural networks. This book covers various aspects of current work in the area, drawing together contributions from authors who are leading researchers in the two fields. Their contributions show a strong awareness of the common ground and of the advantages to be gained by taking the wider perspective. Topics covered include:nonlinear approaches to discriminant analysis; information-theoretic neural networks for unsupervised learning; Radial Basis Function networks; techniques for optimizing predictions; approaches to theanalysis of latent structure, including probabalistic principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their application in industrial case-studies. This research interface is currently extremely active and this volume gives an authoritative overview of the area, its current status and directions for future research. There is currently much activity at the interface between statistics and artificial neural networks research. This book consists of a number of pieces, by world leaders in this research, which will combine to give an overview of current developments and likely future trends. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand pp. 284 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condición: New. Print on Demand pp. 284.

Condición: New. PRINT ON DEMAND pp. 284.

Hardcover. Condición: new. Hardcover. Recent years have seen a growing awareness of the interface between statistical research and recent advances in neural computing and artifical neural networks. This book covers various aspects of current work in the area, drawing together contributions from authors who are leading researchers in the two fields. Their contributions show a strong awareness of the common ground and of the advantages to be gained by taking the wider perspective. Topics covered include:nonlinear approaches to discriminant analysis; information-theoretic neural networks for unsupervised learning; Radial Basis Function networks; techniques for optimizing predictions; approaches to theanalysis of latent structure, including probabalistic principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their application in industrial case-studies. This research interface is currently extremely active and this volume gives an authoritative overview of the area, its current status and directions for future research. There is currently much activity at the interface between statistics and artificial neural networks research. This book consists of a number of pieces, by world leaders in this research, which will combine to give an overview of current developments and likely future trends. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condición: Neu. Statistics and Neural Networks | Advances at the Interface | Jim W. Kay (u. a.) | Buch | Gebunden | Englisch | 2000 | OUP Oxford | EAN 9780198524229 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applications of the research to complex problemsin areas of engineering, computer science, finance, and other subjects. This book gives up-to-the-minute coverage on the research developing at this interface, drawing together contributions by leading workers in the two fields. Their contributions show a strong awareness of the common ground ofthese two subjects and of the advantages to be gained by taking this wider perspective. Topics that are covered include: non-linear approaches to discriminant analysis, techniques for optimizing predictions, approaches to the analysis of latent structure, including probabilistic principal componentanalysis, density networks and the use of multiple latent variables, and a substantial chapter outlining techniques and their application in industrial case-studies. This volume is an authoritative voice on the current status, importance of applications, and directions for future research in thisarea of synergistic science and will be an invaluable resource for those presently working in statistics and neural computing.

Hardcover. Condición: new. Hardcover. Recent years have seen a growing awareness of the interface between statistical research and recent advances in neural computing and artifical neural networks. This book covers various aspects of current work in the area, drawing together contributions from authors who are leading researchers in the two fields. Their contributions show a strong awareness of the common ground and of the advantages to be gained by taking the wider perspective. Topics covered include:nonlinear approaches to discriminant analysis; information-theoretic neural networks for unsupervised learning; Radial Basis Function networks; techniques for optimizing predictions; approaches to theanalysis of latent structure, including probabalistic principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their application in industrial case-studies. This research interface is currently extremely active and this volume gives an authoritative overview of the area, its current status and directions for future research. There is currently much activity at the interface between statistics and artificial neural networks research. This book consists of a number of pieces, by world leaders in this research, which will combine to give an overview of current developments and likely future trends. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.