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

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Bibliografische Details

Titel: Statistics and Neural Networks: Advances at the Interface (Royal Statistical Society Lecture Notes Series, 5)
Verlag: Oxford University Press
Erscheinungsjahr: 1999
Sprache: Englisch
ISBN-10: 0198524226
ISBN-13: 9780198524229
Einband: Hardcover
Zustand: Good
Zustand des Schutzumschlags: Good

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Inhaltsangabe

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 the analysis 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.

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