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• W2523970910 abstract "To solve hard problems, AI relies on a variety of disciplines such as logic, probabilistic reasoning, machine learning and mathematical programming. Although it is widely accepted that solving real-world problems requires an integration amongst these, contemporary representation methodologies offer little support for this. In an attempt to alleviate this situation, we introduce a new declarative programming framework that provides abstractions of well-known problems such as SAT, Bayesian inference, generative models, and convex optimization. The semantics of programs is defined in terms of first-order structures with semiring labels, which allows us to freely combine and integrate problems from different AI disciplines." @default.
• W2523970910 created "2016-10-07" @default.
• W2523970910 creator A5002932153 @default.
• W2523970910 creator A5078136609 @default.
• W2523970910 date "2016-09-21" @default.
• W2523970910 modified "2023-09-27" @default.
• W2523970910 title "Semiring Programming: A Framework for Search, Inference and Learning." @default.
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• W2523970910 hasPublicationYear "2016" @default.
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