A Literature Review on Supervised Machine Learning Algorithms and Boosting Process
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Cites background from "A Literature Review on Supervised M..."
...Despite the evident effectiveness of supervised learning, it has the drawback that it requires numerous labelled data to develop a large-scale labelled dataset [24]....
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References
164 citations
"A Literature Review on Supervised M..." refers methods in this paper
...2015 [2] proposed an example-reliant costsensitive decision tree algorithm, by incorporating the different example-reliant costs into a new cost-based impurity measure and new cost-based pruning criteria....
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...Bahnsen et al. 2015 [2] proposed an example-reliant costsensitive decision tree algorithm, by incorporating the different example-reliant costs into a new cost-based impurity measure and new cost-based pruning criteria....
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77 citations
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"A Literature Review on Supervised M..." refers methods in this paper
...Sun et al., 2016 [10] quoted a representative approach named noise-detection based AdaBoost (ND_AdaBoost) in order to improve the robustness of AdaBoost in the two-class classification scenario....
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..., 2016 [10] quoted a representative approach named noise-detection based AdaBoost (ND_AdaBoost) in order to improve the robustness of AdaBoost in the two-class classification scenario....
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58 citations
"A Literature Review on Supervised M..." refers methods in this paper
..., 2017 [11] presented a boosting-based method of learning a feed-forward artificial neural network (ANN) with a single layer of hidden neurons and a single output neuron....
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...Baig et al., 2017 [11] presented a boosting-based method of learning a feed-forward artificial neural network (ANN) with a single layer of hidden neurons and a single output neuron....
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31 citations
"A Literature Review on Supervised M..." refers background or methods in this paper
...2016 [6], designed a new structural nonparallel support vector machine (called SNPSVM)....
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...Connecting the structural information with nonparallel support vector machine (NPSVM), D. Chen et al. 2016 [6], designed a new structural nonparallel support vector machine (called SNPSVM)....
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