Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference41 articles.
1. Bair, E., & Tibshirani, R. (2004). Semi-supervised methods to predict patient survival from gene expression data. PLoS Biol, 2(4), e108.
2. Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G. H., et al. Deepheart: semi-supervised sequence learning for cardiovascular risk prediction. Thirty-Second AAAI Conference on Artificial Intelligence.
3. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32.
4. Chai, H., Li, Z.-N., Meng, D.-Y., Xia, L.-Y., & Liang, Y. (2017). A new semi-supervised learning model combined with cox and sp-aft models in cancer survival analysis. Scientific Reports, 7(1), 1–12.
5. Chapelle, O., Scholkopf, B., & Zien, A. (2009). Semi-supervised learning (chapelle, o. et al., eds.; 2006)[book reviews], IEEE Transactions on Neural Networks 20(3) 542–542.
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