Nonparametric Bayesian feature selection for 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
August 18, 2011
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tasks and selects the subset of features relevant to the tasks within each group. The model employs a Dirchlet process with a beta- Bernoulli hierarchical base measure. The posterior inference is accomplished efficiently using a Gibbs sampler. Experimental results are presented on simulated as well as real data. © 2011 IEEE.
Duke Scholars
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
August 18, 2011
Start / End Page
2236 / 2239
Citation
APA
Chicago
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MLA
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Li, H., Liao, X., & Carin, L. (2011). Nonparametric Bayesian feature selection for multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2236–2239. https://doi.org/10.1109/ICASSP.2011.5946926
Li, H., X. Liao, and L. Carin. “Nonparametric Bayesian feature selection for multi-task learning.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, August 18, 2011, 2236–39. https://doi.org/10.1109/ICASSP.2011.5946926.
Li H, Liao X, Carin L. Nonparametric Bayesian feature selection for multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;2236–9.
Li, H., et al. “Nonparametric Bayesian feature selection for multi-task learning.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Aug. 2011, pp. 2236–39. Scopus, doi:10.1109/ICASSP.2011.5946926.
Li H, Liao X, Carin L. Nonparametric Bayesian feature selection for multi-task learning. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;2236–2239.
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
August 18, 2011
Start / End Page
2236 / 2239