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Computer Science - Software Engineering | Inductive Logic Programming - 16th International Conference, ILP 2006, Santiago de Compostela,

Inductive Logic Programming

16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers

Muggleton, Stephen, Otero, Ramon, Tamaddoni-Nezhad, Alireza (Eds.)

2007, XII, 456 p. Also available online.

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This book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006.

The 27 revised full papers presented together with five invited papers and the extended abstracts of seven special issue papers were carefully reviewed and selected from 77 initial submissions. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas, thus presenting original results on all aspects of learning in logic, as well as multi-relational data mining and learning, statistical relational learning, graph and tree mining, and learning in other (non-propositional) logic-based knowledge representation frameworks.

Content Level » Research

Keywords » Bayesian networks - algorithm - algorithmic learning - algorithms - bioinformatics - classifier systems - complexity - deductive databases - generalisation operators - inductive inference - inductive logic programming - knowledge representation - logic - programming - verification

Related subjects » Artificial Intelligence - Software Engineering - Theoretical Computer Science

Table of contents 

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.

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