A Noisy-sample-removed Under-sampling Scheme for Imbalanced Classification of Public Datasets
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.04.202
Abstract: Abstract Classification technology plays an important role in machine learning. In the process of classification, the presence of noisy samples in datasets tends to reduce the performance of a classifier. This work proposes a clustering-based… read more here.
Keywords: classification; sampling scheme; removed sampling; sample removed ... See more keywords
Correspondence between a noisy sample-space-reducing process and records in correlated random events.
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DOI: 10.1103/physreve.96.032134
Abstract: We study survival time statistics in a noisy sample-space-reducing (SSR) process. Our simulations suggest that both the mean and standard deviation scale as ∼N/N^{λ}, where N is the system size and λ is a tunable… read more here.
Keywords: sample space; space reducing; time; process ... See more keywords