Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    L0-Constrained Regression for Data Mining

    L2 and L1 constrained regression methods, such as ridge regression and Lasso, have been generally known for their fitting ability. Recently, L0-constrained classifications have been used for feature selection ...

    Zhili Wu, Chun-hung Li in Advances in Knowledge Discovery and Data Mining (2007)

  2. No Access

    Chapter

    Feature Selection with Transductive Support Vector Machines

    SVM-related feature selection has shown to be effective, while feature selection with transductive SVMs has been less studied. This paper investigates the use of transductive SVMs for feature selection, based ...

    Zhili Wu, Chunhung Li in Feature Extraction (2006)