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Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning

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Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and LearningProbabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and

Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming.

Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study.

Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system.

Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds.

Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods.

Many examples of the book include a link to a page of the web application http: //cplint.eu where the code can be run online.

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We bought a Eufy 30C several months ago. After each time it is run, I clean the dust collection chamber, brush dust out of the filter and from the sponge-like pre-filter. After several uses, the filters simply were becoming clogged with tiny dust particles. This kit holds 10 filters and pre-filters, 8 brushes (or four sets) and one main roller brush. Every piece fits perfectly. They look and feel like original quality materials. This is a great set of replacement parts to keep your Eufy working like new.
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