Towards the interpretation of time-varying regularization parameters in streaming penalized regression models.
Pattern Recognition Letters(2019)
摘要
•High-dimensional streaming datasets are ubiquitous in modern applications.•Several methods have been proposed to track time-varying sparsity.•We show that many different statistical properties can lead to changes in sparsity.•We provide extensive experimental evidence for our claims.
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关键词
Penalized regression,Non-stationarity,Regularization,Streaming data
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