  In the light baryon sector resonances can be broad and overlapping and are in
most cases not directly visible in the cross section data. Automatized model
selection techniques that introduce penalties for resonances can be used to
determine the minimally needed set of resonances to describe the data. Several
possible penalization schemes are compared. As an application we perform a
blindfold identification of hyperon resonances in the $\bar{K} N \to K \Xi$
reaction based on the Least Absolute Shrinkage and Selection Operator (LASSO)
in combination with the Bayesian Information Criterion (BIC). We find ten
resonances --- out of the 21 above-threshold hyperon resonances with spin $J\le
7/2$ listed by the Particle Data Group. In traditional analyses, it is
practically impossible to test the relevance of all resonances and their
combinations that may potentially contribute to the reaction. By contrast, the
present method proves capable of determining the relevant resonances among a
large pool of candidates.
