Special Issue of the Inductive Logic Programming (ILP) 2017-2018

Articles (7 in this collection)

1. Online probabilistic theory revision from examples with ProPPR

   Authors

   • Victor Guimarães
   • Aline Paes
   • Gerson Zaverucha

   • Content type: OriginalPaper
   • Published: 14 May 2019

   • Pages: 1165 - 1189

   

2. Guest editors’ note

   • Content type: News
   • Published: 13 May 2019

   • Pages: 1061 - 1061

3. Semi-supervised online structure learning for composite event recognition

   Authors

   • Evangelos Michelioudakis
   • Alexander Artikis
   • Georgios Paliouras

   • Content type: OriginalPaper
   • Published: 22 March 2019

   • Pages: 1085 - 1110

   

4. Probabilistic and exact frequent subtree mining in graphs beyond forests

   Authors

   • Pascal Welke
   • Tamás Horváth
   • Stefan Wrobel

   • Content type: OriginalPaper
   • Published: 15 February 2019

   • Pages: 1137 - 1164

   

5. Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018

   Authors (first, second and last of 5)

   • Nicolas Lachiche
   • Christel Vrain
   • Riccardo Zese

   • Content type: Editorial
   • Published: 14 February 2019

   • Pages: 1057 - 1059

6. Lifted discriminative learning of probabilistic logic programs

   Authors

   • Arnaud Nguembang Fadja
   • Fabrizio Riguzzi

   • Content type: OriginalPaper
   • Published: 20 August 2018

   • Pages: 1111 - 1135

   

7. Learning efficient logic programs

   Authors

   • Andrew Cropper
   • Stephen H. Muggleton

   • Content type: OriginalPaper
   • Open Access
   • Published: 23 April 2018

   • Pages: 1063 - 1083