A standard algorithm for which the estimation error can be bounded is Empirical Risk Minimization (ERM). ERM seeks to minimize the error on the training sample
A standard algorithm for which the estimation error can be bounded is Empirical Risk Minimization (ERM). ERM seeks to minimize the error on the training sample