Inductive Logic Programming

23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers
Herausgegeben:Zaverucha, Gerson; Santos Costa, Vitor; Paes, Aline Marins

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 8812
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 86381805, 978-3-662-44922-6
• 2014
• Seitenzahl: 156
• Erscheinungstermin: 7. Oktober 2014
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 248g
• ISBN-13: 9783662449226
• ISBN-10: 3662449226
• Artikelnr.: 41381617

Inhaltsangabe

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.