HaVSA: An implementation of the Version Space Algebra learning framework.

[ ai, bsd3, library, program ] [ Propose Tags ]

HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau. The canonical description is in:

Tessa Lau, Steven Wolfman, Pedro Domingos, and Daniel S. Weld, Programming by Demonstration using Version Space Algebra, Machine Learning, 2003. (http:/tlau.orgresearchpapersmlj01-draft.pdf)

Versions [RSS] [faq] 0.1,,
Dependencies base (>=4 && <6), HUnit (==1.2.2.*), logict (>=0.4.2 && <0.5), QuickCheck (>=1.1 && <2), test-framework (>=0.3.3 && <0.4), test-framework-hunit (>=0.2.6 && <0.3), test-framework-quickcheck (>=0.2.7 && <0.3) [details]
License BSD-3-Clause
Author Rogan Creswick
Maintainer creswick@gmail.com
Category AI
Source repo head: git clone git://github.com/creswick/HaVSA.git
Uploaded by RoganCreswick at 2011-04-05T23:09:49Z
Distributions NixOS:
Executables tests
Downloads 2840 total (7 in the last 30 days)
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