Inductive Logic Programming 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Raedt, Luc De (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Lecture Notes in Computer Science, 5989
• Subjects: Computer science.; Programming languages (Electronic computers).; Algorithms.; Mathematical logic.; Database management.; Data mining.; Information storage and retrieval.; Computer Science.; Mathematical Logic and Formal Languages.; Programming Languages, Compilers, Interpreters.; Database Management.; Information Storage and Retrieval.; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.

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?.