Inductive Logic Programming
Subtitle: 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers
By: edited by Fabrizio Riguzzi, Filip Železný
Contributors: Železný, Filip; SpringerLink (Online service)
Series: Lecture Notes in Computer Science -- 7842
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 273
ISBN-13: 9783642388125
Subjects: Mathematical Logic and Formal Languages; Programming Techniques; Logic design; Computer Science, general; Logics and Meanings of Programs; Computation by Abstract Devices; Computer science; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.
Table of contents: title: A Relational Approach to Tool-Use Learning in Robots; title: A Refinement Operator for Inducing Threaded-Variable Clauses; title: Propositionalisation of Continuous Attributes beyond Simple Aggregation; title: Topic Models with Relational Features for Drug Design; title: Pairwise Markov Logic; title: Evaluating Inference Algorithms for the Prolog Factor Language; title: Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns; title: Fast Parameter Learning for Markov Logic Networks Using Bayes Nets; title: Bounded Least General Generalization; title: Itemset-Based Variable Construction in Multi-relational Supervised Learning; title: A Declarative Modeling Language for Concept Learning in Description Logics; title: Identifying Driver’s Cognitive Load Using Inductive Logic Programming; title: Opening Doors: An Initial SRL Approach; title: Probing the Space of Optimal Markov Logic Networks for Sequence Labeling; title: What Kinds of Relational Features Are Useful for Statistical Learning?; title: Learning Dishonesty; title: ^; title: Heuristic Inverse Subsumption in Full-Clausal Theories; title: Learning Unordered Tree Contraction Patterns in Polynomial TimeA Relational Approach to Tool-Use Learning in Robots; title: A Refinement Operator for Inducing Threaded-Variable Clauses; title: Propositionalisation of Continuous Attributes beyond Simple Aggregation; title: Topic Models with Relational Features for Drug Design; title: Pairwise Markov Logic; title: Evaluating Inference Algorithms for the Prolog Factor Language; title: Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns; title: Fast Parameter Learning for Markov Logic Networks Using Bayes Nets; title: Bounded Least General Generalization; title: Itemset-Based Variable Construction in Multi-relational Supervised Learning; title: A Declarative Modeling Language for Concept Learning in Description Logics; title: Identifying Driver’s Cognitive Load Using Inductive Logic Programming; title: Opening Doors: An Initial SRL Approach; title: Probing the Space of Optimal Markov Logic Networks for Sequence Labeling; title: ^; title: ^^; title: What Kinds of Relational Features Are Useful for Statistical Learning?.-Learning Dishonesty.-Heuristic Inverse Subsumption in Full-Clausal Theories.-Learning Unordered Tree Contraction Patterns in Polynomial Time.; title: ^^