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* - update to 1.12Cheng-Lung Sung2006-04-151-3/+2
| | | | Notes: svn path=/head/; revision=159546
* - update to 1.11Cheng-Lung Sung2005-10-071-1/+1
| | | | Notes: svn path=/head/; revision=144499
* - update to 1.10Cheng-Lung Sung2005-10-051-1/+1
| | | | Notes: svn path=/head/; revision=144261
* At Kris's request, back out the MACHINE_ARCH spelling correction untilDavid E. O'Brien2005-04-121-1/+1
| | | | | | | after 5.4-RELEASE. Notes: svn path=/head/; revision=133116
* Assist getting more ports working on AMD64 by obeying theDavid E. O'Brien2005-04-111-1/+1
| | | | | | | Ports Collection documentation and use 'ARCH' rather than 'MACHINE_ARCH'. Notes: svn path=/head/; revision=132992
* - update to 1.9Cheng-Lung Sung2004-12-071-1/+1
| | | | Notes: svn path=/head/; revision=123362
* My territory, suggested by ijliao. :pCheng-Lung Sung2004-08-201-1/+1
| | | | | | | Approved by: vanilla (co-mentor) Notes: svn path=/head/; revision=116729
* - Update to 1.8.1Vanilla I. Shu2004-07-291-1/+1
| | | | | | | | | | | | | | | - Many bugs were discovered and fixed. A test suite was added to prevent future regressions. It can be called using make check. Memory management was improved, giving a large speedup in classification speed, and a putative confidence score is now available via an -X switch. - Some documentation changes were made. PR: ports/69749 Submitted by: maintainer Notes: svn path=/head/; revision=114999
* Update to 1.8Kirill Ponomarev2004-07-221-1/+1
| | | | | | | | PR: ports/69407 Submitted by: maintainer Notes: svn path=/head/; revision=114416
* upgrade to 1.7Ying-Chieh Liao2004-07-221-2/+3
| | | | | | | | PR: 69386 Submitted by: maintainer Notes: svn path=/head/; revision=114383
* - Update to 1.6Pav Lucistnik2003-12-311-6/+14
| | | | | | | | PR: ports/60753 Submitted by: Cheng-Lung Sung <clsung@dragon2.net> (maintainer) Notes: svn path=/head/; revision=96993
* Add dbacl 1.4, digramic Bayesian classifier.Sergei Kolobov2003-10-311-0/+40
dbacl is a digramic Bayesian text classifier. Given some text, it calculates the posterior probabilities that the input resembles one of any number of previously learned document collections. It can be used to sort incoming email into arbitrary categories such as spam, work, and play, or simply to distinguish an English text from a French text. It fully supports international character sets, and uses sophisticated statistical models based on the Maximum Entropy Principle. Author: Laird A. Breyer <laird@lbreyer.com> WWW: http://dbacl.sourceforge.net/ PR: 58733 Submitted by: Cheng-Lung Sung <clsung@dragon2.net> Notes: svn path=/head/; revision=92709
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