Cascade Generalization
Cascade Generalization is a supervised ensemble learning method that sequentially combines multiple base learners, where each subsequent learner is trained on the original input features augmented with the predictions of all preceding learners, thereby enabling higher-level models to generalize from both data and prior model outputs.
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1.3K
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2017–2026
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Cheng Li, Jiaqi Ma, Xiaoxiao Guo et al. · 2017 · 292 citations · Full text
Structured Prediction Cascades
David J. Weiss · arXiv (Cornell University) · 2012 · 84 citations · Full text
Czech digital mathematics library · 1998 · 72 citations · Full text
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University of Wisconsin–Milwaukee
Milwaukee, United States
3 h-index
4 publications
107 citations
Vietnam Academy of Science and Technology
Hanoi, Vietnam
2 h-index
5 publications
220 citations
Bielefeld University
Bielefeld, Germany
2 h-index
3 publications
88 citations
Vietnam National University, Hanoi
Hanoi, Vietnam
2 h-index
2 publications
70 citations
University Of Transport Technology
Hanoi, Vietnam
2 h-index
7 publications
260 citations
VNU University of Science
Hanoi, Vietnam
2 h-index
2 publications
70 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
507 citations
Gorgan University of Agricultural Sciences and Natural Resources
Gorgan, Iran
2 h-index
2 publications
70 citations
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TKDE · 2 publications · 121 citations
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Repository · 2 publications · 100 citations
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2 publications · 70 citations
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1 publications · 30 citations
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PRE · 1 publications · 18 citations
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