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Inductive Logic Programming [electronic resource] : 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers / edited by Paolo Frasconi, Francesca A. Lisi.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 6489Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XI, 278p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642212956
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources: In: Springer eBooksSummary: This book constitutes the thoroughly refereed post-proceedings of the 20th International Conference on Inductive Logic Programming, ILP 2010, held in Florence, Italy in June 2010. The 11 revised full papers and 15 revised short papers presented together with abstracts of three invited talks were carefully reviewed and selected during two rounds of refereeing and revision. All current issues in inductive logic programming, i.e. in logic programming for machine learning are addressed, in particular statistical learning and other probabilistic approaches to machine learning are reflected.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK9643

This book constitutes the thoroughly refereed post-proceedings of the 20th International Conference on Inductive Logic Programming, ILP 2010, held in Florence, Italy in June 2010. The 11 revised full papers and 15 revised short papers presented together with abstracts of three invited talks were carefully reviewed and selected during two rounds of refereeing and revision. All current issues in inductive logic programming, i.e. in logic programming for machine learning are addressed, in particular statistical learning and other probabilistic approaches to machine learning are reflected.

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The Institute of Mathematical Sciences, Chennai, India