Výsledky vyhľadávania - Non-monotonic Inductive Logic Programming

  1. 1

    Conflict-Driven Inductive Logic Programming Autor LAW, MARK

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge Cambridge University Press 01.03.2023
    “…The goal of inductive logic programming (ILP) is to learn a program that explains a set of examples…”
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  2. 2

    Iterative Learning of Answer Set Programs from Context Dependent Examples Autor LAW, MARK, RUSSO, ALESSANDRA, BRODA, KRYSIA

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.09.2016
    “…In recent years, several frameworks and systems have been proposed that extend Inductive Logic Programming (ILP…”
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  3. 3

    Learning weak constraints in answer set programming Autor LAW, MARK, RUSSO, ALESSANDRA, BRODA, KRYSIA

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.07.2015
    “…This paper contributes to the area of inductive logic programming by presenting a new learning framework that allows the learning of weak constraints in Answer Set Programming (ASP…”
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  4. 4

    A new algorithm to automate inductive learning of default theories Autor SHAKERIN, FARHAD, SALAZAR, ELMER, GUPTA, GOPAL

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.09.2017
    “… In this paper, we present new algorithms to learn default theories in the form of non-monotonic logic programs…”
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  5. 5

    Using abduction and induction for operational requirements elaboration Autor Alrajeh, D., Ray, O., Russo, A., Uchitel, S.

    ISSN: 1570-8683, 1570-8691
    Vydavateľské údaje: Elsevier B.V 01.09.2009
    Vydané v Journal of applied logic (01.09.2009)
    “… This paper presents an Inductive Logic Programming method for inferring operational requirements from a set of example scenarios and an initial but incomplete requirements specification…”
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  6. 6

    Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME Autor Shakerin, Farhad, Gupta, Gopal

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 09.11.2018
    Vydané v arXiv.org (09.11.2018)
    “… Then, in order to explain the model's global behavior, we propose the LIME-FOLD algorithm ---a heuristic-based inductive logic programming (ILP…”
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  7. 7

    Introducing possibilistic logic in ILP for dealing with exceptions Autor Serrurier, Mathieu, Prade, Henri

    ISSN: 0004-3702, 1872-7921
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.11.2007
    Vydané v Artificial intelligence (01.11.2007)
    “…In this paper we propose a new formalization of the inductive logic programming (ILP) problem for a better handling of exceptions…”
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  8. 8

    Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models Autor Shakerin, Farhad

    ISSN: 2075-2180, 2075-2180
    Vydavateľské údaje: Open Publishing Association 19.09.2019
    “…We present a fast and scalable algorithm to induce non-monotonic logic programs from statistical learning models…”
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  9. 9

    Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics Autor Mota, Tiago, Sridharan, Mohan, Leonardis, Aleš

    ISSN: 2662-995X, 2661-8907
    Vydavateľské údaje: Singapore Springer Singapore 01.07.2021
    Vydané v SN computer science (01.07.2021)
    “… As a step towards addressing this challenge, our architecture combines the complementary strengths of non-monotonic logical reasoning with incomplete commonsense domain knowledge, deep learning, and inductive learning…”
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  10. 10

    Inductive Learning of Answer Set Programs from Noisy Examples Autor Law, Mark, Russo, Alessandra, Broda, Krysia

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 25.08.2018
    Vydané v arXiv.org (25.08.2018)
    “…In recent years, non-monotonic Inductive Logic Programming has received growing interest…”
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  11. 11

    Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models Autor Shakerin, Farhad

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 18.09.2019
    Vydané v arXiv.org (18.09.2019)
    “…We present a fast and scalable algorithm to induce non-monotonic logic programs from statistical learning models…”
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  12. 12

    LPC(ID): A Sequent Calculus Proof System for Propositional Logic Extended with Inductive Definitions Autor Hou, Ping, Wittocx, Johan, Denecker, Marc

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 11.07.2012
    Vydané v arXiv.org (11.07.2012)
    “…The logic FO(ID) uses ideas from the field of logic programming to extend first order logic with non-monotone inductive definitions…”
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  13. 13

    Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining Autor Shakerin, Farhad, Gupta, Gopal

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 29.05.2019
    Vydané v arXiv.org (29.05.2019)
    “…We present a fast and scalable algorithm to induce non-monotonic logic programs from statistical learning models…”
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  14. 14

    A Logic for Non-Monotone Inductive Definitions Autor Denecker, Marc, Ternovska, Eugenia

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 13.01.2005
    Vydané v arXiv.org (13.01.2005)
    “…), this paper formalizes the principle of iterated induction in a new logic for Non-Monotone Inductive Definitions (ID-logic…”
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    A defeasible reasoning model of inductive concept learning from examples and communication Autor Ontañón, Santiago, Dellunde, Pilar, Godo, Lluís, Plaza, Enric

    ISSN: 0004-3702, 1872-7921
    Vydavateľské údaje: Oxford Elsevier B.V 01.12.2012
    Vydané v Artificial intelligence (01.12.2012)
    “… We define a consequence relation characterizing which hypotheses can be induced from given sets of examples, and study its properties, showing they correspond to a rather well-behaved non-monotonic logic…”
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  16. 16

    A New Algorithm to Automate Inductive Learning of Default Theories Autor Shakerin, Farhad, Salazar, Elmer, Gupta, Gopal

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 10.07.2017
    Vydané v arXiv.org (10.07.2017)
    “… In this paper, we present new algorithms to learn default theories in the form of non-monotonic logic programs…”
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    Paper
  17. 17

    PrASP Report Autor Nickles, Matthias

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 30.12.2016
    Vydané v arXiv.org (30.12.2016)
    “…This technical report describes the usage, syntax, semantics and core algorithms of the probabilistic inductive logic programming framework PrASP…”
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    Introduction to the 30th International Conference on Logic Programming Special Issue Autor LEUSCHEL, MICHAEL, SCHRIJVERS, TOM

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.07.2014
    “…The 30th edition of the International Conference of Logic Programming took place in Vienna in July 2014 at the Vienna Summer of Logic - the largest scientific conference in the history of logic…”
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    Introduction to the 27th International Conference on Logic Programming Special Issue Autor GALLAGHER, JOHN, GELFOND, MICHAEL

    ISSN: 1471-0684, 1475-3081
    Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.07.2011
    “…Following the initiative in 2010 taken by the Association for Logic Programming and Cambridge University Press, the full papers accepted for the International Conference on Logic Programming again…”
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    Inductive situation calculus Autor Denecker, Marc, Ternovska, Eugenia

    ISSN: 0004-3702, 1872-7921
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.04.2007
    Vydané v Artificial intelligence (01.04.2007)
    “… inductive definitions and non-monotone forms of inductive definitions such as iterated induction…”
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