HaVSA: An implementation of the Version Space Algebra learning framework.
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)
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- HaVSA-0.1.0.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1, 0.1.0.1, 0.1.0.2 |
|---|---|
| Dependencies | base (>=4 && <6), HUnit (>=1.2.2 && <1.2.3), 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 | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Executables | tests |
| Downloads | 3120 total (7 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |