de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Gradient Weights help Nonparametric Regressors

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84024

Kpotufe,  S
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83823

Boularias,  A
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Kpotufe, S., & Boularias, A. (2012). Gradient Weights help Nonparametric Regressors. In P. Bartlett (Ed.), Advances in Neural Information Processing Systems 25 (pp. 2870-2878).


Cite as: http://hdl.handle.net/11858/00-001M-0000-000E-FE1B-0
Abstract
There is no abstract available