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Weakly supervised multilayer perceptron/Ushahidi
Rekodi ya ushahidi wa mbinu

Weakly supervised multilayer perceptron

A Weakly Supervised Multilayer Perceptron trains a standard feedforward neural network when only imperfect supervision is available — labels may be noisy, incomplete, crowd-sourced, rule-generated, or derived from distant supervision — enabling learning at scale without the cost of full expert annotation.

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Weakly Supervised Multilayer Perceptron
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • 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. · URL
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Taxonomic bucketFine-Tuned Multilayer Perceptronmachine-suggested · Relational suggestion, not evidence.Same method familyMultilayer Perceptronmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemi-supervised Multilayer Perceptronmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeakly supervised convolutional neural networkmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeakly supervised transformermachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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