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
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…