Efficient Gradient Computation for Conditional Gaussian Models

Bo Thiesson; Chris Meek

Efficient Gradient Computation for Conditional Gaussian Models

Bo Thiesson, Chris Meek

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, PMLR R5:341-348, 2005.

Cite this Paper

BibTeX


@InProceedings{pmlr-vR5-thiesson05a,
  title = 	 {Efficient Gradient Computation for Conditional Gaussian Models},
  author =       {Thiesson, Bo and Meek, Chris},
  booktitle = 	 {Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics},
  pages = 	 {341--348},
  year = 	 {2005},
  editor = 	 {Cowell, Robert G. and Ghahramani, Zoubin},
  volume = 	 {R5},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {06--08 Jan},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/r5/thiesson05a/thiesson05a.pdf},
  url = 	 {https://proceedings.mlr.press/r5/thiesson05a.html},
  note =         {Reissued by PMLR on 30 March 2021.}
}

Endnote

%0 Conference Paper
%T Efficient Gradient Computation for Conditional Gaussian Models
%A Bo Thiesson
%A Chris Meek
%B Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics
%C Proceedings of Machine Learning Research
%D 2005
%E Robert G. Cowell
%E Zoubin Ghahramani	
%F pmlr-vR5-thiesson05a
%I PMLR
%P 341--348
%U https://proceedings.mlr.press/r5/thiesson05a.html
%V R5
%Z Reissued by PMLR on 30 March 2021.

APA


Thiesson, B. & Meek, C.. (2005). Efficient Gradient Computation for Conditional Gaussian Models. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research R5:341-348 Available from https://proceedings.mlr.press/r5/thiesson05a.html. Reissued by PMLR on 30 March 2021.

Related Material

Download PDF