Innovations in Bayesian Networks

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  • Innovations in Bayesian Networks Book Detail

  • Author : Dawn E. Holmes
  • Release Date : 2008-09-10
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 324
  • ISBN 13 : 354085066X
  • File Size : 26,26 MB

Innovations in Bayesian Networks by Dawn E. Holmes PDF Summary

Book Description: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.

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Innovations in Bayesian Networks

Innovations in Bayesian Networks

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Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have broug

Innovations in Bayesian Networks

Innovations in Bayesian Networks

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Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have broug

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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is

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Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences.

Innovations in Machine Learning

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Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contribut