Inductive Logic Programming

Invited Papers.- Actions, Causation and Logic Programming.- Challenges to Machine Learning: Relations Between Reality and Appearance.- First-Order Probabilistic Languages: Into the Unknown.- Integration of Learning and Reasoning Techniques.- Injecting Life with Computers.- Special Issue Extended Abstracts.- On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate.- Revising Probabilistic Prolog Programs.- Inductive Logic Programming for Gene Regulation Prediction.- QG/GA: A Stochastic Search for Progol.- Generalized Ordering-Search for Learning Directed Probabilistic Logical Models.- ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions.- Margin-Based First-Order Rule Learning.- Research Papers.- Extension of the Top-Down Data-Driven Strategy to ILP.- Extracting Requirements from Scenarios with ILP.- Learning Recursive Patterns for Biomedical Information Extraction.- Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.- Multi-class Prediction Using Stochastic Logic Programs.- Structuring Natural Language Data by Learning Rewriting Rules.- An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification.- Towards Automating Simulation-Based Design Verification Using ILP.- Minimal Distance-Based Generalisation Operators for First-Order Objects.- Efficient and Scalable Induction of Logic Programs Using a Deductive Database System.- Inductive Mercury Programming.- An ILP Refinement Operator for Biological Grammar Learning.- Combining Macro-operators with Control Knowledge.- Frequent Hypergraph Mining.- Induction of Fuzzy and Annotated Logic Programs.- Boosting Descriptive ILP for Predictive Learning in Bioinformatics.- Relational Sequence Alignments and Logos.- On the Missing Link Between Frequent Pattern Discovery and Concept Formation.- Learning Modal Theories.- A Mining Algorithm Using Property Items Extracted from Sampled Examples.- The Complexity of Translating BLPs to RMMs.- Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming.- ILP Through Propositionalization and Stochastic k-Term DNF Learning.- ?-Subsumption Based on Object Context.- Word Sense Disambiguation Using Inductive Logic Programming.- ReMauve: A Relational Model Tree Learner.- Relational Data Mining Applied to Virtual Engineering of Product Designs.