Batch Weight-Averaged Broad Learning System for Improved Generalization
The Broad Learning System (BLS) enables efficient closed-form training by solving the output weights in a single ridge-regression step. However, this one-shot full-batch estimator often exhibits a pronounced generalization gap. This paper proposes Batch Weight-Averaged BLS (BWA-BLS), which partitions the training set i...