Active learning for semi-supervised multi-task learning
Publication
, Journal Article
Li, H; Liao, X; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
September 23, 2009
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-task classifier exploits manifold information provided by the unlabeled data, while also leveraging relevant information across multiple data sets. The active-learning component defines which data would be most informative to classifier design if the associated labels are acquired. The framework is demonstrated through application to a real landmine detection problem. ©2009 IEEE.
Duke Scholars
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
September 23, 2009
Start / End Page
1637 / 1640
Citation
APA
Chicago
ICMJE
MLA
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Li, H., Liao, X., & Carin, L. (2009). Active learning for semi-supervised multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1637–1640. https://doi.org/10.1109/ICASSP.2009.4959914
Li, H., X. Liao, and L. Carin. “Active learning for semi-supervised multi-task learning.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, September 23, 2009, 1637–40. https://doi.org/10.1109/ICASSP.2009.4959914.
Li H, Liao X, Carin L. Active learning for semi-supervised multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2009 Sep 23;1637–40.
Li, H., et al. “Active learning for semi-supervised multi-task learning.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Sept. 2009, pp. 1637–40. Scopus, doi:10.1109/ICASSP.2009.4959914.
Li H, Liao X, Carin L. Active learning for semi-supervised multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2009 Sep 23;1637–1640.
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
September 23, 2009
Start / End Page
1637 / 1640