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

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Learning mixtures of localized rules by maximizing the area under the ROC curve

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45492

Sing,  Tobias
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44105

Beerenwinkel,  Niko
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, 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

Sing, T., Beerenwinkel, N., & Lengauer, T. (2004). Learning mixtures of localized rules by maximizing the area under the ROC curve. In ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence (pp. 89-96). Valencia, Spain: University of Valencia.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-2AD2-8
Abstract
There is no abstract available