Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease

Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen

CVPR 2012 pp. 940-947

doi:10.1109/CVPR.2012.6247769 /cvpr/2012/wan2012cvpr-sparse/

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Text

Wan et al. "Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247769

Markdown

[Wan et al. "Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/wan2012cvpr-sparse/) doi:10.1109/CVPR.2012.6247769

BibTeX

@inproceedings{wan2012cvpr-sparse,
  title     = {{Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease}},
  author    = {Wan, Jing and Zhang, Zhilin and Yan, Jingwen and Li, Taiyong and Rao, Bhaskar D. and Fang, Shiaofen and Kim, Sungeun and Risacher, Shannon L. and Saykin, Andrew J. and Shen, Li},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {940-947},
  doi       = {10.1109/CVPR.2012.6247769},
  url       = {https://mlanthology.org/cvpr/2012/wan2012cvpr-sparse/}
}