Broad Learning System Based on Maximum Correntropy Criterion
IEEE Transactions on Neural Networks and Learning Systems(2021)
摘要
As an effective and efficient discriminative learning method, broad learning system (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems. However, the standard BLS is derived under the minimum mean square error (MMSE) criterion, which is, of course, not always a good choice due to its sensitivity to outliers. To enhance the ro...
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关键词
Learning systems,Robustness,Standards,Optimization,Training,Perturbation methods,Mean square error methods
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