Effective transductive learning via PAC-Bayesian model selection - El-Yaniv, Gerzon - 2004 () Citation Context ...e input target set. To perform the model selection step, the system first trains several models using varying input parameters. Next, it select the least erroneous model using ...
Having defined the stochastic classifier over the feature mapping and derived the classification risks, we now proceed to derive the generalization bound for the classifier using PAC-Bayes theory. We can learn the stochastic feature mapping discriminatively and train the stochastic classifier over the fe...