Programming Models for Estimates, Approximation, and Probabilistic Reasoning

Опубликовано 27 июня 2016, 22:11

Many emerging applications produce and use estimates in domains as diverse as probabilistic reasoning, machine learning, data analytics, approximate computing, and sensor programming. This session will focus on programming language models for expert developers and the masses (application programmers without statistics background). In particular, we will explore how well current languages support developers in producing estimation models, computing with estimates, and reasoning about what the resulting programs mean.