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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".
32 lines
933 B
Text
32 lines
933 B
Text
@comment $NetBSD: PLIST,v 1.1.1.1 2007/03/12 16:08:30 briandealwis Exp $
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bin/crm
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bin/cssdiff
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bin/cssmerge
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bin/cssutil
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bin/osbf-util
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share/crm114/classifymail.crm
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share/crm114/crmlearn
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share/crm114/mailfilter.crm
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share/crm114/maillib.crm
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share/crm114/mailreaver.crm
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share/crm114/mailtrainer.crm
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share/crm114/pad.crm
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share/crm114/rewriteutil.crm
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share/crm114/shuffle.crm
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share/doc/crm114/CRM114_Mailfilter_HOWTO.txt
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share/doc/crm114/FAQ.txt
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share/doc/crm114/INTRO.txt
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share/doc/crm114/QUICKREF.txt
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share/doc/crm114/README
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share/doc/crm114/knownbugs.txt
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share/emacs/site-lisp/crm114-mode.el
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share/examples/crm114/blacklist.mfp.example
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share/examples/crm114/mailfilter.cf
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share/examples/crm114/pad.dat
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share/examples/crm114/priolist.mfp.example
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share/examples/crm114/procmailrc.recipe
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share/examples/crm114/rewrites.mfp
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share/examples/crm114/whitelist.mfp.example
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@dirrm share/examples/crm114
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@dirrm share/doc/crm114
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@dirrm share/crm114
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