Jul 20, 2021 · Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known ...
Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known ...
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Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known ...
Lost in Transduction: Transductive Transfer. Learning in Text Classification. ACM Trans. Knowl. Discov. Data. 1, 1 (February 2021), 21 pages. https://doi.org ...
Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known ...
Lost in Transduction: Transductive Transfer Learning in Text Classification. A Moreo, A Esuli, F Sebastiani. ACM Transactions on Knowledge Discovery from Data ...
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new ...
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Jan 18, 2015 · Transductive learning is less ambitious. We learn on lots of examples, but we only try to predict on a known (test) set of unlabeled examples.
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of ...
May 23, 2023 · Transductive transfer learning is an effective way to adapt a network to a new target domain by utilizing a pretrained ATR network in the source ...