Inductive Logic Programming [E-Book] : 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers / edited by Jesse Davis, Jan Ramon.
Davis, Jesse. (editor)
Ramon, Jan. (editor)
1st ed. 2015.
Cham : Springer, 2015
X, 211 p. 62 illus. in color. online resource.
Lecture notes in computer science ; 9046
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Table of 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.