ML Anthology

A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool

Jürgen Herrmann, Reiner Ackermann, Jörg Peters, Detlef Reipa
ECML-PKDD 1994 pp. 138-153
doi:10.1007/3-540-57868-4_55 /ecmlpkdd/1994/herrmann1994ecml-multistrategy/

Abstract

The presented system COSIMA learns floorplanning rules from structural descriptions incrementally, using a number of cooperating machine learning strategies: Selective inductive generalization generates most specific generalizations using predicate weights to select the best one heuristically. The predicate weights are adjusted statistically. Inductive specialization eliminates overgeneralizations. Constructive induction improves the learning process in several ways. The system is organized as a learning apprentice system. It provides an interactive design tool and can automate single floorplanning steps.

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Cite

Text

Herrmann et al. "A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_55

Markdown

[Herrmann et al. "A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/herrmann1994ecml-multistrategy/) doi:10.1007/3-540-57868-4_55

BibTeX

@inproceedings{herrmann1994ecml-multistrategy,
  title     = {{A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool}},
  author    = {Herrmann, Jürgen and Ackermann, Reiner and Peters, Jörg and Reipa, Detlef},
  booktitle = {European Conference on Machine Learning},
  year      = {1994},
  pages     = {138-153},
  doi       = {10.1007/3-540-57868-4_55},
  url       = {https://mlanthology.org/ecmlpkdd/1994/herrmann1994ecml-multistrategy/}
}