Probabilistic inductive constraint logic
نویسندگان
چکیده
منابع مشابه
Probabilistic Inductive Constraint Logic
Probabilistic logic models are used ever more often to deal with the uncertain relations that are typical of the real world. However, these models usually require expensive inference and learning procedures. Very recently the problem of identifying tractable languages has come to the fore. In this paper we consider the models used by the Inductive Constraint Logic (ICL) system, namely sets of i...
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A novel approach to learning rst order logic formulae from positive and negative examples is presented. Whereas present inductive logic programming systems employ examples as true and false ground facts (or clauses), we view examples as interpretations which are true or false for the target theory. This viewpoint allows to reconcile the inductive logic programming paradigm with classical attrib...
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Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductiv...
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The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 years, with many proposals for languages that combine probability with logic programming. Since the start, the problem of learning probabilistic logic programs has been the focus of much attention and a special issue of Theory and Practice of Logic Programming on Probability, Logic, and Learning has ...
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Probabilistic logic models are used ever more often to deal with the uncertain relations typical of the real world. However, these models usually require expensive inference procedures. Very recently the problem of identifying tractable languages has come to the fore. In this paper we consider the models used by the learning from interpretations ILP setting, namely sets of integrity constraints...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2020
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-020-05911-6