data files or other data streams, and to sort, filter, or alter
the incoming files or data streams according to the user's wildest
desires. Criteria for categorization of data can be by satisfaction
of regexes, by sparse binary polynomial matching with a Bayesian
Chain Rule evaluator, a Hidden Markov Model, or by other means.
Accuracy of the SBPH/BCR classifier has been seen in excess of 99
per cent, for 1/4 megabyte of learning text. In other words, CRM114
learns, and it learns fast .
This package tracks the "Cutting Edge Version".
