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Title:
Inductive Logic Programming 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers
Author:
Davis, Jesse. editor.
ISBN:
9783319237084
Edition:
1st ed. 2015.
Physical Description:
X, 211 p. 62 illus. in color. online resource.
Series:
Lecture Notes in Artificial Intelligence, 9046
Contents:
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.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-319-23708-4Copies:
Available:*
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