Raedt Inductive Logic Programming

19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers
Erscheinungsjahr 2010
ISBN: 978-3-642-13840-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 257 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

Zielgruppe

Research

Autoren/Hrsg.

Raedt, Luc

Inhaltsverzeichnis

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?.