First, as opposed to many boosting algorithms (Freund et al., 1996;Schapire and Singer, 1999;Dietterich et al., 2000) we do not "reweigh" training instances based on the loss incurred on them by a previous iteration.
applying such techniques in new domains requires making a heavy engineering investment.