Inductive Logic Programming: 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers
Author:   Gerson Zaverucha ,  Vítor Santos Costa ,  Aline Paes
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2014 ed.
Volume:   8812
ISBN:  

9783662449226


Pages:   141
Publication Date:   07 October 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Inductive Logic Programming: 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers


Overview

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.

Full Product Details

Author:   Gerson Zaverucha ,  Vítor Santos Costa ,  Aline Paes
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2014 ed.
Volume:   8812
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   2.467kg
ISBN:  

9783662449226


ISBN 10:   3662449226
Pages:   141
Publication Date:   07 October 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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. 

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