Výsledky vyhľadávania - "Logic programming"

Probabilistic (logic) programming concepts Autor De Raedt, Luc, Kimmig, Angelika

“…A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling…”
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Inductive logic programming at 30 Autor Cropper, Andrew, Dumančić, Sebastijan, Evans, Richard, Muggleton, Stephen H.

“…Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program…”
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Best-effort inductive logic programming via fine-grained cost-based hypothesis generation: The inspire system at the inductive logic programming competition Autor Schüller, Peter, Benz, Mishal

“…We describe the Inspire system which participated in the first competition on inductive logic programming (ILP…”
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Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning Autor Riguzzi, Fabrizio

“…Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory…”
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Inductive Logic Programming At 30: A New Introduction Autor Cropper, Andrew, Dumančić, Sebastijan

“…Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypothesis…”
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Conflict-Driven Inductive Logic Programming Autor LAW, MARK

“…The goal of inductive logic programming (ILP) is to learn a program that explains a set of examples…”
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Extended multi-adjoint logic programming Autor Cornejo, M. Eugenia, Lobo, David, Medina, Jesús

“…Extended multi-adjoint logic programming arises as an extension of multi-adjoint normal logic programming where constraints and a special type of aggregator operator have been included…”
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Bousi∼Prolog: Design and implementation of a proximity-based fuzzy logic programming language Autor Julián-Iranzo, Pascual, Sáenz-Pérez, Fernando

“…The fuzzy logic programming language Bousi∼Prolog extends Prolog with a weak unification algorithm based on proximity relations and truth degree annotations…”
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Parallel Logic Programming: A Sequel Autor DOVIER, AGOSTINO, FORMISANO, ANDREA, GUPTA, GOPAL, HERMENEGILDO, MANUEL V., PONTELLI, ENRICO, ROCHA, RICARDO

“… Since its inception, logic programming has been recognized as a programming paradigm with great potential for automated exploitation of parallelism…”
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Flexible coinductive logic programming Autor DAGNINO, FRANCESCO, ANCONA, DAVIDE, ZUCCA, ELENA

“… We provide a detailed formal account of an extension of logic programming supporting flexible coinduction…”
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Modeling PU learning using probabilistic logic programming Autor Verreet, Victor, De Raedt, Luc, Bekker, Jessa

“…The goal of learning from positive and unlabeled (PU) examples is to learn a classifier that predicts the posterior class probability. The challenge is that…”
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Finite-Choice Logic Programming Autor Martens, Chris, Simmons, Robert J., Arntzenius, Michael

“…Logic programming, as exemplified by datalog, defines the meaning of a program as its unique smallest model…”
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Stratified extended multi-adjoint logic programming Autor Cornejo, M. Eugenia, Lobo, David, Medina, Jesús

“…Extended multi-adjoint logic programming is a non-monotonic logic programming framework whose semantics is defined in terms of stable models…”
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Probabilistic logic programming for hybrid relational domains Autor Nitti, Davide, De Laet, Tinne, De Raedt, Luc

“…We introduce a probabilistic language and an efficient inference algorithm based on distributional clauses for static and dynamic inference in hybrid…”
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Semirings for probabilistic and neuro-symbolic logic programming Autor Derkinderen, Vincent, Manhaeve, Robin, Zuidberg Dos Martires, Pedro, De Raedt, Luc

“…The field of probabilistic logic programming (PLP) focuses on integrating probabilistic models into programming languages based on logic…”
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Logic programming for deliberative robotic task planning Autor Meli, Daniele, Nakawala, Hirenkumar, Fiorini, Paolo

“… In this manuscript, we present a survey on recent advances in the application of logic programming to the problem of task planning…”
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A differentiable first-order rule learner for inductive logic programming Autor Gao, Kun, Inoue, Katsumi, Cao, Yongzhi, Wang, Hanpin

“… Inductive logic programming (ILP) models are effective in learning first-order logic programs from observed relational data…”
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Logic programming in tensor spaces Autor Sakama, Chiaki, Inoue, Katsumi, Sato, Taisuke

“…This paper introduces a novel approach to computing logic programming semantics. First, a propositional Herbrand base is represented in a vector space and if-then rules in a program are encoded in a matrix…”
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Declarative probabilistic logic programming in discrete-continuous domains Autor Zuidberg Dos Martires, Pedro, De Raedt, Luc, Kimmig, Angelika

“…Over the past three decades, the logic programming paradigm has been successfully expanded to support probabilistic modeling, inference and learning…”
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Incremental learning of event definitions with Inductive Logic Programming Autor Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios

“… Using a logical framework for representing and reasoning about events offers direct connections to machine learning, via Inductive Logic Programming (ILP…”
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