Inductive Logic Programming: 24th International Conference, Ilp 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers

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.

• Format: Paperback
• Language: English
• ISBN: 3319237071
• ISBN13: 9783319237077
• Release Date: December 2015
• Publisher: Springer
• Length: 211 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"