1. A computer-implemented method for providing an efficient physical implementation of a first classifier defined by a first rule set, at least a part of which first classifier having a sparse distribution in Boolean space, the computer-implemented method comprising: a) converting the first classifier, having a corresponding Boolean space, into a second classifier, wherein the second classifier has a corresponding Boolean space which is not semantically equivalent to the Boolean space corresponding to the first classifier, and wherein the second classifier is defined by a second set of rules which is smaller than the first set of rules defining the first classifier; b) storing a data structure representing the second classifier; and c) configuring a bit string transformation component to transform a first bit string into a second bit string, wherein applying the first bit string to the first classifier is equivalent to applying the second bit string to the second classifier.