Abstract:Broad learning system is an emerging method, which has achieved outstanding performance in regression and classification problems. This paper proposes a novel algorithm called Broad Learning System based on adaptive lasso (AdL1-BLS) to reduce model size and improve model generalization performance. The proposed AdL1-BLS introduces the weighted L1-norm penalty into BLS, adaptive lasso is used to assign different adaptive coefficients to each output weight of BLS. Because of the effect of adaptive coefficients, … Show more
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