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/}
}