Machine learningDeep learning / NLP / CV
弱监督多层感知机
弱监督多层感知机（Weakly Supervised Multilayer Perceptron）在仅有不完美监督可用时训练标准前馈神经网络——标签可能存在噪声、不完整、众包、规则生成或来自远程监督——从而能够在没有高昂专家标注成本的情况下进行大规模学习。
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来源
- Zhou, Z.-H. (2018). A brief introduction to weakly supervised learning. National Science Review, 5(1), 44–53. DOI: 10.1093/nsr/nwx106 ↗
- Ratner, A. J., De Sa, C. M., Wu, S., Selsam, D., & Re, C. (2016). Data programming: Creating large training sets, quickly. Advances in Neural Information Processing Systems (NeurIPS), 29. link ↗
如何引用本页
ScholarGate. (2026, June 3). Weakly Supervised Multilayer Perceptron. ScholarGate. https://scholargate.app/zh/deep-learning/weakly-supervised-multilayer-perceptron
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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