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    IJCAI
    1993
    84views Artificial Intelligence» more  IJCAI 1993»
    Estimating the Accuracy of Learned Concepts
    13 years 5 months ago
    Estimating the Accuracy of Learned Concepts
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    Timothy L. Bailey, Charles Elkan
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    IJCAI
    1993
    92views Artificial Intelligence» more  IJCAI 1993»
    Symbolic Revision of Theories with M-of-N Rules
    13 years 5 months ago
    Symbolic Revision of Theories with M-of-N Rules
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    This paper presents a major revision of the Either propositional theory re nement system. Two issues are discussed. First, we show howrun timee ciency can be greatlyimproved by ch...
    Paul T. Baffes, Raymond J. Mooney
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    IJCAI
    1993
    123views Artificial Intelligence» more  IJCAI 1993»
    Statistical Foundations for Default Reasoning
    13 years 5 months ago
    Statistical Foundations for Default Reasoning
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    We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
    Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
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    IJCAI
    1993
    82views Artificial Intelligence» more  IJCAI 1993»
    How to Prefer More Specific Defaults in Terminological Default Logic
    13 years 5 months ago
    How to Prefer More Specific Defaults in Terminological Default Logic
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    Franz Baader, Bernhard Hollunder
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    IJCAI
    1993
    135views Artificial Intelligence» more  IJCAI 1993»
    Representing Concurrent Actions in Extended Logic Programming
    13 years 5 months ago
    Representing Concurrent Actions in Extended Logic Programming
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    Gelfond and Lifschitz introduce a declarative language A for describing effects of actions and define a translation of theories in this language into extended logic programs(ELP, ...
    Chitta Baral, Michael Gelfond
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    IJCAI
    1993
    83views Artificial Intelligence» more  IJCAI 1993»
    HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
    13 years 5 months ago
    HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
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    Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
    Kamal M. Ali, Michael J. Pazzani
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    IJCAI
    1993
    67views Artificial Intelligence» more  IJCAI 1993»
    FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
    13 years 5 months ago
    FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
    Download  www.isi.edu
    Approaches to text processing that rely on parsing the text with a context-free grammar tend to be slow and error-prone because of the massive ambiguity of long sentences. In cont...
    Douglas E. Appelt, Jerry R. Hobbs, John Bear, Davi...
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