Inductive logic programming : 23rd international conference, ILP 2013 Rio de Janeiro, Brazil, August 28-30, 2013 : revised selected papers
著者
書誌事項
Inductive logic programming : 23rd international conference, ILP 2013 Rio de Janeiro, Brazil, August 28-30, 2013 : revised selected papers
（Lecture notes in computer science, 8812. Lecture notes in artificial intelligence）
Springer, c2014
- pbk
- タイトル別名
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LNAI 8812
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement.- On Differentially Private Inductive Logic Programming.- Learning Through Hypothesis Refinement Using Answer Set Programming.- A BDD-Based Algorithm for Learning from Interpretation Transition.- Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.- A Direct Policy-Search Algorithm for Relational Reinforcement Learning.- AND Parallelism for ILP: The APIS System.- Generalized Counting for Lifted Variable Elimination.- A FOIL-Like Method for Learning under Incompleteness and Vagueness.
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