Zaverucha / Santos Costa / Paes Inductive Logic Programming

23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers
Erscheinungsjahr 2014
ISBN: 978-3-662-44923-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 8812, 141 Seiten, eBook

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Zaverucha, Gerson

Santos Costa, Vítor

Paes, Aline

Inhaltsverzeichnis

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.