Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks

Abstract

We present a novel classification and regression method that combines exploratory projection pursuit (unsupervised training) with projection pursuit regression (supervised training), to yield a new family of cost/complexity penalty terms. Some improved generalization properties are demonstrated on real-world problems.

Cite

Text

Intrator. "Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks." Neural Computation, 1993. doi:10.1162/NECO.1993.5.3.443

Markdown

[Intrator. "Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks." Neural Computation, 1993.](https://mlanthology.org/neco/1993/intrator1993neco-combining/) doi:10.1162/NECO.1993.5.3.443

BibTeX

@article{intrator1993neco-combining,
  title     = {{Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks}},
  author    = {Intrator, Nathan},
  journal   = {Neural Computation},
  year      = {1993},
  pages     = {443-455},
  doi       = {10.1162/NECO.1993.5.3.443},
  volume    = {5},
  url       = {https://mlanthology.org/neco/1993/intrator1993neco-combining/}
}