Inductive Logic Programming [electronic resource] : 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 8812Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XIII, 141 p. 31 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783662449233

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.131 23

LOC classification:

QA267-268.5

Online resources:

Click here to access online

In: Springer Nature eBookSummary: 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.

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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.

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