Skip to main content

Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing

Publication ,  Journal Article
Liao, X; Carin, L
Published in: IEEE Transactions on Geoscience and Remote Sensing
May 1, 2009

To achieve good generalization in supervised learning, the training and testing examples are usually required to be drawn from the same source distribution. In this paper, we propose a method to relax this requirement in the context of logistic regression. Assuming Dp and Da are two sets of examples drawn from two different distributions T and A (called concepts, borrowing a term from psychology), where Da are fully labeled and Dp partially labeled, our objective is to complete the labels of Dp. We introduce an auxiliary variable μ for each example in Da to reflect its mismatch with Dp. Under an appropriate constraint the μs are estimated as a byproduct, along with the classifier. We also present an active learning approach for selecting the labeled examples in Dp. The proposed algorithm, called migratory logistic regression, is demonstrated successfully on simulated data as well as on real measured data of interest for unexploded ordnance cleanup. © 2006 IEEE.

Duke Scholars

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

ISSN

0196-2892

Publication Date

May 1, 2009

Volume

47

Issue

5

Start / End Page

1454 / 1466

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Liao, X., & Carin, L. (2009). Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing. IEEE Transactions on Geoscience and Remote Sensing, 47(5), 1454–1466. https://doi.org/10.1109/TGRS.2008.2005268
Liao, X., and L. Carin. “Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing.” IEEE Transactions on Geoscience and Remote Sensing 47, no. 5 (May 1, 2009): 1454–66. https://doi.org/10.1109/TGRS.2008.2005268.
Liao X, Carin L. Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing. IEEE Transactions on Geoscience and Remote Sensing. 2009 May 1;47(5):1454–66.
Liao, X., and L. Carin. “Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing.” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 5, May 2009, pp. 1454–66. Scopus, doi:10.1109/TGRS.2008.2005268.
Liao X, Carin L. Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing. IEEE Transactions on Geoscience and Remote Sensing. 2009 May 1;47(5):1454–1466.

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

ISSN

0196-2892

Publication Date

May 1, 2009

Volume

47

Issue

5

Start / End Page

1454 / 1466

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics