Sequential Outlier Criterion for Sparsification of Online Adaptive Filtering.
IEEE Transactions on Neural Networks and Learning Systems(2018)
摘要
In this paper, we deal with the learning problem when using an adaptive filtering method. For the learning system in filtering, the knowledge is obtained and updated based on the newly acquired information that is extracted and learned from the sequential samples over time. Effective measurement on the informativeness of a sample and reasonable subsequent treatment on the sample will improve the l...
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关键词
Kernel,Learning systems,Estimation,Quantization (signal),Approximation algorithms,Filtering,Neural networks
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