首页|New Automated Reasoning Findings from University of York Discussed (Probabilisti c Unifying Relations for Modelling Epistemic and Aleatoric Uncertainty: Semantic s and Automated Reasoning With Theorem Proving)
New Automated Reasoning Findings from University of York Discussed (Probabilisti c Unifying Relations for Modelling Epistemic and Aleatoric Uncertainty: Semantic s and Automated Reasoning With Theorem Proving)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Automat ed Reasoning. According to news reportingout of York, United Kingdom, by NewsRx editors, research stated, “Probabilistic programming combinesgeneral computer programming, statistical inference, and formal semantics to help systems make de cisions when facing uncertainty. Probabilistic programs are ubiquitous, includin g having a significant impact onmachine intelligence.”
YorkUnited KingdomEuropeAutomated ReasoningEmerging TechnologiesMachine LearningUniversity of York
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