1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2020
A generalized linear joint trained framework for semi-supervised learning of sparse features
Juan C. Laria, Line H. Clemmensen, Bjarne K. Ersbøll
The elastic-net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penaliz…
stat.ME2019★ 1 cited
Model based Level Shift Detection in Autocorrelated Data Streams using a moving window
Jacob Søgaard Larsen, Anders Stockmarr, Bjarne Kjær Ersbøll +1
Standard Control Chart techniques to detect level shift in data streams assume independence between observations. As data today is collected with high frequency, this assumption is…