Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction

Yuh-Jyh Hu. Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction. In Maarten van Someren, Gerhard Widmer, editors, Machine Learning: ECML-97, 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997, Proceedings. Volume 1224 of Lecture Notes in Computer Science, pages 124-137, Springer, 1997.

@inproceedings{Hu97:0,
  title = {Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction},
  author = {Yuh-Jyh Hu},
  year = {1997},
  researchr = {https://researchr.org/publication/Hu97%3A0},
  cites = {0},
  citedby = {0},
  pages = {124-137},
  booktitle = {Machine Learning: ECML-97, 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997, Proceedings},
  editor = {Maarten van Someren and Gerhard Widmer},
  volume = {1224},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-62858-4},
}