Inductive Logic Programming : 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers (Lecture Notes in Artificial Intelligence) （2014）

Zaverucha, Gerson (EDT)/ Santos Costa, Vítor (EDT)/ Paes, Aline (EDT)

Springer-Verlag Berlin and Heidelberg GmbH & Co. K（2014/10発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 141 p.
• 言語 ENG
• 商品コード 9783662449226
• DDC分類 005.115

Full Description

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.

Contents

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.