Inductive Logic Programming 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers / edited by Luc Raedt.

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Raedt, Luc (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Lecture Notes in Artificial Intelligence ; 5989
Springer eBook Collection.
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Table of Contents:
  • Knowledge-Directed Theory Revision
  • Towards Clausal Discovery for Stream Mining
  • On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics
  • Induction of Relational Algebra Expressions
  • A Logic-Based Approach to Relation Extraction from Texts
  • Discovering Rules by Meta-level Abduction
  • Inductive Generalization of Analytically Learned Goal Hierarchies
  • Ideal Downward Refinement in the Description Logic
  • Nonmonotonic Onto-Relational Learning
  • CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
  • Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals
  • Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
  • ProGolem: A System Based on Relative Minimal Generalisation
  • An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge
  • Boosting First-Order Clauses for Large, Skewed Data Sets
  • Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
  • Transfer Learning via Relational Templates
  • Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data
  • Finding Relational Associations in HIV Resistance Mutation Data
  • ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries
  • Parameter Screening and Optimisation for ILP Using Designed Experiments
  • Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models
  • Policy Transfer via Markov Logic Networks
  • Can ILP Be Applied to Large Datasets?.