An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations

Chengan Guo, Anthony Kuh. An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations. In Fuliang Yin, Jun Wang, Chengan Guo, editors, Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I. Volume 3173 of Lecture Notes in Computer Science, pages 370-376, Springer, 2004. [doi]

@inproceedings{GuoK04,
  title = {An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations},
  author = {Chengan Guo and Anthony Kuh},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3173&spage=370},
  researchr = {https://researchr.org/publication/GuoK04},
  cites = {0},
  citedby = {0},
  pages = {370-376},
  booktitle = {Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I},
  editor = {Fuliang Yin and Jun Wang and Chengan Guo},
  volume = {3173},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-22841-1},
}