On the Use of Projection Pursuit Constraints for Training Neural Networks

Abstract

\Ve present a novel classifica t.ioll and regression met.hod that com(cid:173) bines exploratory projection pursuit. (unsupervised traiuing) with pro(cid:173) jection pursuit. regression (supervised t.raining), t.o yield a. nev,,' family of cost./complexity penalLy terms . Some improved generalization properties are demonstrat.ed on real \vorld problems.

Cite

Text

Intrator. "On the Use of Projection Pursuit Constraints for Training Neural Networks." Neural Information Processing Systems, 1992.

Markdown

[Intrator. "On the Use of Projection Pursuit Constraints for Training Neural Networks." Neural Information Processing Systems, 1992.](https://mlanthology.org/neurips/1992/intrator1992neurips-use/)

BibTeX

@inproceedings{intrator1992neurips-use,
  title     = {{On the Use of Projection Pursuit Constraints for Training Neural Networks}},
  author    = {Intrator, Nathan},
  booktitle = {Neural Information Processing Systems},
  year      = {1992},
  pages     = {3-10},
  url       = {https://mlanthology.org/neurips/1992/intrator1992neurips-use/}
}