19. The method of claim 18 , wherein selecting the set of feature weights during a first iteration includes: calculating a log-likelihood-ratio association metric (LLR score) for at least some examples in a training set; identifying a maximum number of feature weights to include in the set of feature weights; and including feature weights into the set of feature weights in order of their LLR scores, the set of feature weights limited to include no more than the maximum number of feature weights, and any feature weights included having a non-zero loss function derivative.
18. The method of claim 17 , wherein determining the updates comprises: selecting the set of feature weights, the selection independent of the feature weights selected in any other iteration.