@inproceedings{bbb7a3a3bc1e47c7875c5874056005f3,
title = "An optimal dimension expansion procedure for obtaining linearly separable subsets",
abstract = "The authors study the necessary and sufficient condition for linearly separable subsets and then propose an optimal dimension expansion procedure that makes any mapping to be performed by perceptrons learnable by an error-correction procedure. For n-bit parity check problems, it is shown that only one additional dimension is augmented to make them solvable by single-layer perceptrons. Other applications such as for decoding error-correcting codes are also considered.",
author = "Tseng, {Yuen Hsien} and Wu, {Ja Ling}",
year = "1991",
language = "English",
isbn = "0780302273",
series = "91 IEEE Int Jt Conf Neural Networks IJCNN 91",
publisher = "Publ by IEEE",
pages = "2461--2465",
booktitle = "91 IEEE Int Jt Conf Neural Networks IJCNN 91",
note = "1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 ; Conference date: 18-11-1991 Through 21-11-1991",
}