Bayesian Reasoning and Machine Learning
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $97.95
Copyright year: 2011
Publisher: Cambridge University Press
Publication date: 2/2/2012
Size: 7.75" wide x 10.00" long x 1.50" tall
David Barber is a Reader in Information Processing at University College London.
|Inference in Probabilistic Models|
|Basic graph concepts|
|Efficient inference in trees|
|The junction tree algorithm|
|Learning in Probabilistic Models|
|Statistics for machine learning|
|Learning as inference|
|Learning with hidden variables|
|Bayesian model selection|
|Machine learning concepts|
|Nearest neighbour classification|
|Unsupervised linear dimension reduction|
|Supervised linear dimension reduction|
|Bayesian linear models|
|Latent linear models|
|Latent ability models|
|Discrete-state Markov models|
|Continuous-state Markov models|
|Switching linear dynamical systems|
|Deterministic approximate inference|
|Appendix. Background mathematics|