10. A method of information-based processing, comprising: receiving a set of features; querying an index using at least a subset of the features, and selecting, based on at least the subset of the features, classifiers from a larger pool of supervised classifiers identified by the index; processing, by a system having a central processing unit, the set of features by individual ones of the selected classifiers, and generating corresponding classifier outputs in response to the processing; and based on the classifier outputs, selecting at least one category from among a plurality of categories.
10. A method of information-based processing, comprising: receiving a set of features; querying an index using at least a subset of the features, and selecting, based on at least the subset of the features, classifiers from a larger pool of supervised classifiers identified by the index; processing, by a system having a central processing unit, the set of features by individual ones of the selected classifiers, and generating corresponding classifier outputs in response to the processing; and based on the classifier outputs, selecting at least one category from among a plurality of categories. 11. The method according to claim 10 , wherein said querying excludes at least a given one of the features in the set that is associated with a larger number of the supervised classifiers identified by the index than other ones of the features in the set.