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Author ILP (Conference) (23rd : 2013 : Rio de Janeiro, Brazil)

Title Inductive logic programming : 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised selected papers / Gerson Zaverucha, Vítor Santos Costa, Aline Paes (eds.)
Published Heidelberg : Springer, 2014

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Description 1 online resource (xiii, 141 pages) : illustrations
Series Lecture notes in artificial intelligence, 0302-9743 ; 8812
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 8812. 0302-9743
LNCS sublibrary. SL 7, Artificial intelligence.
Contents Intro; Preface; Organization; Contents; MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement; 1 Introduction; 1.1 Bayesian MIL Versus Probabilistic ILP; 1.2 Multiple and Single Models; 2 MetaBayes Refinement Framework; 2.1 Setting; 2.2 Generalised Meta-Interpreter; 2.3 Stochastic Refinement; 2.4 Prior, Likelihood and Posterior; 3 Implementation; 3.1 MetaBayes; 3.2 MetaBayesMAP; 3.3 MetaBayesSiLP; 3.4 MilProbLog; 4 Experiments; 4.1 Binary Prediction -- MetaBayes vs. MetaMap; 4.2 Probabilistic Prediction -- MetaBayes vs. MetaBayesSiLP vs. MilProbLog
5 Related Work6 Conclusion and Further Work; References; On Differentially Private Inductive Logic Programming; 1 Introduction; 2 Preliminaries; 2.1 Inductive Logic Programming; 2.2 Differential Privacy; 3 Problem Formulation; 4 Trade-Off on Privacy and Utility; 4.1 Our Utility Model; 4.2 A Lower Bound on Privacy Parameter; 5 Differentially Private ILP Algorithm; 5.1 A Non-private ILP Algorithm; 5.2 A Differentially Private Selection Algorithm; 5.3 A Differentially Private Reduction Algorithm; 5.4 Our Differentially Private ILP Algorithm; 6 Experiment; 7 Conclusion; References
Learning Through Hypothesis Refinement Using Answer Set Programming1 Introduction; 2 Background; 2.1 Top-Directed Abductive Learning in ASP; 3 Learning Through Hypothesis Refinement; 3.1 Hypothesis Refinement; 3.2 Learning a Partial Hypothesis; 4 RASPAL: Iterative Learning by Refinement; 4.1 Algorithms; 5 Experiment; 6 Conclusion and Future Work; References; A BDD-Based Algorithm for Learning from Interpretation Transition; 1 Introduction; 2 Learning from 1-Step Transitions; 3 BDD Algorithms for LF1T; 4 Experiments; 5 Conclusion and Future Work; A Appendix; A.1 Proof of Theorem 1; References
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization1 Introduction; 2 Background; 3 Relational Imitation Learning; 4 Relational Transfer; 5 Experiments; 6 Discussion and Conclusion; References; A Direct Policy-Search Algorithm for Relational Reinforcement Learning; 1 Introduction; 2 Related Work; 3 Terminology; 3.1 Blocks World; 4 CERRLA Algorithm; 4.1 Cross-Entropy Method; 4.2 Rule Discovery; 4.3 Policy-Search Process; 5 Evaluation; 5.1 Blocks World; 5.2 Ms.Pac-Man; 5.3 Carcassonne; 6 Conclusions; References; AND Parallelism for ILP: The APIS System
1 Introduction2 Background; 2.1 Parallel Execution of Logic Programs; 3 The APIS System; 3.1 Redundancy Avoidance; 4 Experiments and Results; 4.1 Experimental Settings; 4.2 Results and Discussion; 5 Parallel Execution of ILP Systems; 6 Conclusions; References; Generalized Counting for Lifted Variable Elimination; 1 Introduction; 2 Representation; 3 Lifted Variable Elimination; 4 Generalized Counting Formulas; 4.1 A Motivating Example; 4.2 Definition; 5 Conversion Operations; 5.1 Counting Conversion; 5.2 Merging Counting Formulas; 5.3 Merge-Counting; 6 Elimination Operations
Summary This book constitutes the thoroughly refereed post-proceedings of the 23rd International Conference on Inductive Logic Programming, ILP 2013, held in Rio de Janeiro, Brazil, in August 2013. The 9 revised extended papers were carefully reviewed and selected from 42 submissions. The conference now focuses on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and other forms of learning from structured data
Analysis computerwetenschappen
computer sciences
informatiesystemen
information systems
internet
programmeren
programming
kunstmatige intelligentie
artificial intelligence
wiskunde
mathematics
logica
logic
computational science
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Notes Includes author index
English
Online resource; title from PDF title page (SpringerLink, viewed October 10, 2014)
Subject Logic programming -- Congresses
Induction (Logic) -- Congresses
Machine learning -- Congresses
Induction (Logic)
Logic programming
Machine learning
Mathematics.
Physical Sciences & Mathematics.
Mathematical Theory.
Genre/Form Conference papers and proceedings
Form Electronic book
Author Zaverucha, Gerson, editor.
Santos Costa, Vítor, 1961- editor.
Paes, Aline, editor
ISBN 9783662449233
3662449234
3662449226
9783662449226
Other Titles ILP 2013