Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and to synthesize ...
Salt Lake City has always had a funny proclivity for being about 10 to 15 years behind its more cosmopolitan cousins like Chicago, Los Angeles, New York and Seattle. Thirty years ago, for example, a ...
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