Nato ASI Subseries F:

From Statistics to Neural Networks

Theory and Pattern Recognition Applications

Editors: Cherkassky, Vladimir, Friedman, Jerome H., Wechsler, Harry (Eds.)

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-79119-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-642-79121-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993. The meeting brought to­ gether over 100 participants (including 19 invited lecturers) from 20 countries. The invited lecturers whose contributions appear in this volume are: L. Almeida (INESC, Portugal), G. Carpenter (Boston, USA), V. Cherkassky (Minnesota, USA), F. Fogelman Soulie (LRI, France), W. Freeman (Berkeley, USA), J. Friedman (Stanford, USA), F. Girosi (MIT, USA and IRST, Italy), S. Grossberg (Boston, USA), T. Hastie (AT&T, USA), J. Kittler (Surrey, UK), R. Lippmann (MIT Lincoln Lab, USA), J. Moody (OGI, USA), G. Palm (U1m, Germany), B. Ripley (Oxford, UK), R. Tibshirani (Toronto, Canada), H. Wechsler (GMU, USA), C. Wellekens (Eurecom, France) and H. White (San Diego, USA). The ASI consisted of lectures overviewing major aspects of statistical and neural network learning, their links to biological learning and non-linear dynamics (chaos), and real-life examples of pattern recognition applications. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (1) Unified framework for the study of Predictive Learning in Statistics and Artificial Neural Networks (ANNs); (2) Differences and similarities between statistical and ANN methods for non­ parametric estimation from examples (learning); (3) Fundamental connections between artificial learning systems and biological learning systems.

Table of contents (18 chapters)

  • An Overview of Predictive Learning and Function Approximation

    Friedman, Jerome H.

    Pages 1-61

  • Nonparametric Regression and Classification Part I—Nonparametric Regression

    Hastie, T. J. (et al.)

    Pages 62-69

  • Nonparametric Regression and Classification Part II—Nonparametric Classification

    Hastie, T. J. (et al.)

    Pages 70-82

  • Neural Networks, Bayesian a posteriori Probabilities, and Pattern Classification

    Lippmann, Richard P.

    Pages 83-104

  • Flexible Non-linear Approaches to Classification

    Ripley, B. D.

    Pages 105-126

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-79119-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-642-79121-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
From Statistics to Neural Networks
Book Subtitle
Theory and Pattern Recognition Applications
Editors
  • Vladimir Cherkassky
  • Jerome H. Friedman
  • Harry Wechsler
Series Title
Nato ASI Subseries F:
Series Volume
136
Copyright
1994
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-79119-2
DOI
10.1007/978-3-642-79119-2
Softcover ISBN
978-3-642-79121-5
Series ISSN
0258-1248
Edition Number
1
Number of Pages
XII, 394
Topics