Declarative probabilistic logic programming in discrete-continuous domains

Over the past three decades, the logic programming paradigm has been successfully expanded to support probabilistic modeling, inference and learning. The resulting paradigm of probabilistic logic programming (PLP) and its programming languages owes much of its success to a declarative semantics, the...

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Vydané v:	Artificial intelligence Ročník 337; s. 104227
Hlavní autori:	Zuidberg Dos Martires, Pedro, De Raedt, Luc, Kimmig, Angelika
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Algebraic model counting Declarative semantics Discrete-continuous distributions Knowledge compilation Likelihood weighting Logic programming Probabilistic programming Logic programming Probabilistic programming Discrete-continuous distributions Algebraic model counting Declarative semantics Likelihood weighting Knowledge compilation
ISSN:	0004-3702, 1872-7921
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