Machine Learning from Weak Supervision : An Empirical Risk Minimization Approach
Sugiyama, Masashi
Machine Learning from Weak Supervision : An Empirical Risk Minimization Approach - Cambridge, Massachusetts : The MIT Press, [2022] - xv, 295 pages : illustrations (some color) ; 24 cm.
9780262047074
An overview of machine learning from data that is easily collectible, but challenging to annotate for learning algorithms
Q325.75 .S84
Machine Learning from Weak Supervision : An Empirical Risk Minimization Approach - Cambridge, Massachusetts : The MIT Press, [2022] - xv, 295 pages : illustrations (some color) ; 24 cm.
9780262047074
An overview of machine learning from data that is easily collectible, but challenging to annotate for learning algorithms
Q325.75 .S84