Bayesian reasoning and machine learning / David Barber

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Title	Bayesian reasoning and machine learning / David Barber
LC Call #	QA264 B37 2012
Author	Barber, David, , 1968-
Content	Probabilistic reasoning
	Basic graph concepts
	Belief networks
	Graphical models
	Efficient inference in trees
	The junction tree algorithm
	Making decisions
	Statistics for machine learning
	Learning as inference
	Naive Bayes
	Learning with hidden variables
	Bayesian model selection
	Machine learning concepts
	Nearest neighbour classification
	Unsupervised linear dimension reduction
	Supervised linear dimension reduction
	Linear models
	Bayesian linear models
	Gaussian processes
	Mixture models
	Latent linear models
	Latent ability models
	Discrete-state Markov models
	Continuous-state Markov models
	Switching linear dynamical systems
	Distributed computation
	Sampling
	Deterministic approximate inference
Subject	Machine learning
	Bayesian statistical decision theory
ISBN	978-0-521-51814-7 hardback
Published/Created	Cambridge, New York : Cambridge University Press, 2012.

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	Barcode	CallNo	Collection	Branch	Location	Status
	33002000032158	QA264 B37 2012	Book	PSU Phuket Campus Library	Foreign Book (2nd Fl.)	Available

Library	Ordered Date	Copies	Status
PSU Phuket Campus Library	23 Sep 2013	1	Completely Received

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