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Does anyone know of a good Dirichlet Process textbook from a Machine Learning Point of View? Pretty much in the vein of Rasmussen's Gaussian Process book. |
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The Bayesian Nonparametric should be a reasonable place to start. The book is a bit on the dense side but provides decent insight. I also found this tutorial paper every helpful. |
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I don't think there is a text book on DP as yet. But see the answers to this earlier question on metaoptimize which has lots of good pointers on the topic. Yes, I did find that, I was just wondering wether someone may have some insider's information on that :)
(Jan 17 '11 at 04:06)
Leon Palafox ♦
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