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- W2355274281 abstract "According to the auxiliary training data with large redundancy and imbalance between positive and negative samples,an improved integrated transfer learning algorithmic-The Unbalanced Integrated Transfer Learning Algorithmic is proposed.Applied these auxiliary training data to transfer and help classifying on target data.New sample initialization and regulation weight method highlighted negative sample identification ability.Through dynamic adjusting auxiliary training set,eliminated redundant data according to the weight lower threshold,reduced their influence on the classifier and improved the transfer learning's performance.Experimental results on the actual bridge monitoring data show that this algorithmic is advanced than TrAdaboost." @default.
- W2355274281 created "2016-06-24" @default.
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- W2355274281 date "2012-01-01" @default.
- W2355274281 modified "2023-09-29" @default.
- W2355274281 title "Integrated Transfer Learning Algorithmic for Unbalanced Samples Classification" @default.
- W2355274281 hasPublicationYear "2012" @default.
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