Inductive Logic Programming

22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 16-18,2012, Revised Selected papers

Häftad, Engelska, 2013

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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.

Produktinformation

Utgivningsdatum2013-06-06
Mått155 x 235 x 16 mm
Vikt435 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor273
Upplaga2013
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642388118

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A Relational Approach to Tool-Use Learning in Robots.- A Refinement Operator for Inducing Threaded-Variable Clauses.- Propositionalisation of Continuous Attributes beyond Simple Aggregation.- Topic Models with Relational Features for Drug Design.- Pairwise Markov Logic.- Evaluating Inference Algorithms for the Prolog Factor Language.- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns.- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets.- Bounded Least General Generalization.- Itemset-Based Variable Construction in Multi-relational Supervised Learning.- A Declarative Modeling Language for Concept Learning in Description Logics.- Identifying Driver’s Cognitive Load Using Inductive Logic Programming.- Opening Doors: An Initial SRL Approach.- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling.- 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 TimeA Relational Approach to Tool-Use Learning in Robots.- A Refinement Operator for Inducing Threaded-Variable Clauses.- Propositionalisation of Continuous Attributes beyond Simple Aggregation.- Topic Models with Relational Features for Drug Design.- Pairwise Markov Logic.- Evaluating Inference Algorithms for the Prolog Factor Language.- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns.- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets.- Bounded Least General Generalization.- Itemset-Based Variable Construction in Multi-relational Supervised Learning.- A Declarative Modeling Language for Concept Learning in Description Logics.- Identifying Driver’s Cognitive Load Using Inductive Logic Programming.- Opening Doors: An Initial SRL Approach.- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling.- What Kinds of Relational Features Are Useful for StatisticalLearning?.-Learning Dishonesty.-Heuristic Inverse Subsumption in Full-Clausal Theories.-Learning Unordered Tree Contraction Patterns in Polynomial Time.