Foundations of Graphical Models
نویسنده
چکیده
This is a PhD-level course about how to develop and use probability models. We will study their mathematical properties, algorithms for computing with them, and applications to real problems. We will study both the foundations and modern methods in this field, such as large-scale inference and Bayesian nonparametrics. Our goals are to understand the cutting edge of modern probabilistic modeling, to begin research that makes contributions to this field, and to develop good practices for specifying and applying probabilistic models.
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تاریخ انتشار 2014