Sparsity in Machine Learning: Theory and Applications

Sparsity plays a key role in machine learning for several reasons including interpretability. Interpretability is sought either by practitioners or by scientists. Indeed, on one hand interpretability can be key in a practice such as in healthcare, in which black box models cannot be used for the pre...

תיאור מלא

מידע ביבליוגרפי
מחבר ראשי: Lahlou Kitane, Driss
מחברים אחרים: Bertsimas, Dimitris
פורמט: Thesis
יצא לאור: Massachusetts Institute of Technology 2022
גישה מקוונת:https://hdl.handle.net/1721.1/143157