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Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Reducing redundancy in boosting could lead to more efficient ensemble models, with SCBoost achieving superior accuracy and F1 scores by focusing on novel empirical innovations.
Transformers' expressivity explodes combinatorially with sequence length, embedding dimension, and depth, reaching Θ(N^(d_model*L)) linear regions.