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  5. Patterns of Scalable Bayesian Inference

Patterns of Scalable Bayesian Inference - Elaine Angelino - Bog

af Elaine Angelino, Matthew James Johnson, Ryan P. Adams

indgår i Foundations and Trends (R) in Machine Learning serien

Patterns of Scalable Bayesian Inference af Elaine Angelino
Bag om Patterns of Scalable Bayesian Inference

Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680832181
  • Indbinding:
  • Paperback
  • Sideantal:
  • 148
  • Udgivet:
  • 17. November 2016
  • Størrelse:
  • 234x156x8 mm.
  • Vægt:
  • 219 g.
  • 2-3 uger.
  • 23. Juli 2024

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Beskrivelse af Patterns of Scalable Bayesian Inference

Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.

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