ML803: Advanced Probabilistic and Statistical Inference
TB = Textbook or Required reading
REF = Reference or supplemental reading
Type | .................... | Title |
eBook |
|
Call Number |
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G. Casella, and R. L. Berger, Statistical Inference, 2nd ed. Cengage Learning, 2001. |
NA
|
Yes | QA276 .C37 2002 |
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D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques. MIT Press, 2009 | ProQuest | Yes | QA279.5.K65 2009 |
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C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. | Author copy | Yes | Q327.B52 2009 |
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K. Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012. | ProQuest | Yes | QA278.8 .W37 2006 |
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D. Barber, Bayesian reasoning and machine learning. Cambridge University Press. 2012. | Yes | QA267 .B347 2012 | |
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D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press. 2009. | ProQuest | Yes | QA279.5 .K65 2009 |
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D. J. C. MacKay, Information Theory, Inference and Learning Algorithms, Cambridge University Press. 2003. | Open Access | Yes | Q360 .M23 2003 |
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S. Nowozin and C. Lampert, Structured Learning and Prediction in Computer Vision, Foundations and Trends in Computer Graphics and Vision Vol. 6, Nos. 3–4 (2010) 185–365, 2011. | Open Access | Yes | TA1634 .N6 2011 |