Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty
Wave-BLS, a robust broad learning framework that integrates the wave loss function, which is asymmetric, bounded, and smooth, enabling controlled penalization of large errors, is proposed, establishing Wave-BLS as a stable and robust alternative to existing broad learning models for learning under data uncertainty.
M. Akhtar, A. Varshney, A. Quadir et al.
· IEEE International Joint Con... · 0 citations