ML Anthology

JIGSAW: Puzzling Together RUTH and SPECTRE (Extended Abstract)

Hilde Adé, Henrik Boström
ECML-PKDD 1995 pp. 263-266
doi:10.1007/3-540-59286-5_63 /ecmlpkdd/1995/ade1995ecml-jigsaw/

Abstract

The system JIGSAW that we have presented in this work is an example of integrating independently developed techniques. Benefiting from the common logical framework of the ILP research field, we were able to extend the theory revision system RUTH. More specifically, we integrated SPECTRE's specialization operator together with the impurity measure used for formulating a preference criterion. Experimental results using the Student Loan domain and the CUP domain show that the integration effort is beneficial, and they point out the advantages (and also some caveats) concerning the use of an unfolding technique.

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Cite

Text

Adé and Boström. "JIGSAW: Puzzling Together RUTH and SPECTRE (Extended Abstract)." European Conference on Machine Learning, 1995. doi:10.1007/3-540-59286-5_63

Markdown

[Adé and Boström. "JIGSAW: Puzzling Together RUTH and SPECTRE (Extended Abstract)." European Conference on Machine Learning, 1995.](https://mlanthology.org/ecmlpkdd/1995/ade1995ecml-jigsaw/) doi:10.1007/3-540-59286-5_63

BibTeX

@inproceedings{ade1995ecml-jigsaw,
  title     = {{JIGSAW: Puzzling Together RUTH and SPECTRE (Extended Abstract)}},
  author    = {Adé, Hilde and Boström, Henrik},
  booktitle = {European Conference on Machine Learning},
  year      = {1995},
  pages     = {263-266},
  doi       = {10.1007/3-540-59286-5_63},
  url       = {https://mlanthology.org/ecmlpkdd/1995/ade1995ecml-jigsaw/}
}