Abstract
Researchers in machine learning have developed methods for largely automated inference with large data sets. With increasingly more powerful computing resources and ever increasing needs for statistical inference for massive data sets, similar methods are also being developed by researchers in Bayesian analysis. The distinction between machine learning and Bayesian analysis is starting to blur. This chapter discusses several examples of such research.
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© 2010 Springer New York
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Chen, MH., Dey, D.K., Müller, P., Sun, D., Ye, K. (2010). Bayesian Data Mining and Machine Learning. In: Chen, MH., Müller, P., Sun, D., Ye, K., Dey, D. (eds) Frontiers of Statistical Decision Making and Bayesian Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6944-6_10
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DOI: https://doi.org/10.1007/978-1-4419-6944-6_10
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-6943-9
Online ISBN: 978-1-4419-6944-6
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