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	Barber, David     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 2 of 2 reviews        Bayesian reasoning and machine learning Barber D., Cambridge University Press, New York, NY, 2012. 728 pp.  Type: Book (978-0-521518-14-7) Barber’s aim for this book is to introduce Bayesian reasoning and machine learning to students “without a firm background in statistics, calculus, or linear algebra.” To achieve this goal, the author uses ...... Jul 16 2012     Bayesian time series models Barber D., Cemgil A., Chiappa S., Cambridge University Press, New York, NY, 2011. 432 pp.  Type: Book (978-0-521196-76-5) Time series data appear in many areas, such as economics, audio analysis, video streaming, and biomedicine. Probabilistic models are popular tools to describe the characteristics of time series because they can capture noise effects an...... Feb 6 2012
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