Inductive Logic Programming

24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers

By: Jan Ramon (Editor), Jesse Davis (Editor)

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Paperback | 27 December 2015

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224 Pages

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Annotated

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15.7 x 29.5 x 1.6

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Reframing on Relational Data.- Inductive Learning using Constraint-driven Bias.- Nonmonotonic Learning in Large Biological Networks.- Construction of Complex Aggregates with Random Restart Hill-Climbing.- Logical minimisation of meta-rules within Meta-Interpretive Learning.- Goal and plan recognition via parse trees using prefix and infix probability computation.- Effectively creating weakly labeled training examples via approximate domain knowledge.- Learning Prime Implicant Conditions From Interpretation Transition.- Statistical Relational Learning for Handwriting Recognition.- The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions.- Towards machine learning of predictive models from ecological data.- PageRank, ProPPR, and Stochastic Logic Programs.- Complex aggregates over clusters of elements.- On the Complexity of Frequent Subtree Mining in Very Simple Structures.

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