Titlebook: Scalable Uncertainty Management; 14th International C Jesse Davis,Karim Tabia Conference proceedings 2020 Springer Nature Switzerland AG 20

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Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domainsms of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but naturally, there is considerable overlap. We place an emphasis on the following “sore” point: there is a common misconception that logic is for discrete properties, whereas probability theory

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When Nominal Analogical Proportions Do Not Failturned into an affine function by renaming variable and function values. We then use this result together with some universal algebraic tools to show that they are essentially unary or . which provides a general representation of HAP functions. As a by-product, in the case when ., it follows that th

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Vaishak Bellentations also clearly demonstrated the substantial progress that has been achieved in recent years in terms of developing and implement- ing stochastic analysis techniques for mechanical engineering systems. This aspect was further underpinned by specially invited extended lectures on computational

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