Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results

Wenxin Jiang, Martin A. Tanner. Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. In Gregory F. Cooper, Serafín Moral, editors, UAI 98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, July 24-26, 1998, University of Wisconsin Business School, Madison, Wisconsin, USA. pages 296-303, Morgan Kaufmann, 1998. [doi]

@inproceedings{JiangT98,
  title = {Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results},
  author = {Wenxin Jiang and Martin A. Tanner},
  year = {1998},
  url = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=260&proceedingID=14},
  tags = {survey, consistency},
  researchr = {https://researchr.org/publication/JiangT98},
  cites = {0},
  citedby = {0},
  pages = {296-303},
  booktitle = {UAI  98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, July 24-26, 1998, University of Wisconsin Business School, Madison, Wisconsin, USA},
  editor = {Gregory F. Cooper and Serafín Moral},
  publisher = {Morgan Kaufmann},
}