Titlebook: Inductive Logic Programming; 16th International C Stephen Muggleton,Ramon Otero,Alireza Tamaddoni-Ne Conference proceedings 2007 Springer-V

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ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctionsin order to tackle real world learning problems more effectively. This is achieved by looking for an approximate solution rather than a perfect one. ALLPAD has been tested on the problem of classifying proteins according to their tertiary structure and the results compare favorably with most other approaches.

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Revising Probabilistic Prolog ProgramsThe ProbLog (probabilistic prolog) language has been introduced in [1], where various algorithms have been developed for solving and approximating ProbLog queries. Here, we define and study the problem of revising ProbLog theories from examples.

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978-3-540-73846-6Springer-Verlag Berlin Heidelberg 2007

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Margin-Based First-Order Rule Learninge-art rule learning approaches [1], we therefore assign weights to the rules. In this way, a rule set represents a linear classifier and one can optimize . optimization criteria, essentially reducing the misclassification error on noisy data. Since we aim at comprehensible models, we employ margins

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