Barber, David <br/><br/>
Bayesian reasoning and machine learning 
by David Barber 
 - New Delhi:   Cambridge University Press  2014 
 - xxiv, 697p., app., ref., ind.  24 cm x 18 cm 
<br/><br/><label>ISBN: </label>9781107439955 
<br/><br/><label>Subjects--Topical Terms: </label><br/>algorithm<br/>approximate<br/>artificial intelligence<br/>basic graph concepts<br/>bayesian statistical decision theory<br/>belief networks<br/>classification<br/>decision<br/>distributed computation<br/>dynamical<br/>efficient inference in trees<br/>gaussian processes<br/>graphical models<br/>hidden variables<br/>inference in probabilistic models<br/>latent<br/>linear dimension<br/>machine learning<br/>mixture models<br/>naive bayes<br/>sampling<br/>statistics
<br/><br/><label>Dewey Class. No.: </label>006.31  / BAR