hVOIDP: Optimal variable selection in chain graphical model.
An implementation of the VOIDP algorithm that selects the optimal observations in chain graphical models.
References:
Andreas Krause and Carlos Guestrin. 2009. Optimal value of information in graphical models. J. Artif. Int. Res. 35, 1 (July 2009), 557-591.
Qi Qi; Yi Shang; Hongchi Shi; , "An improved algorithm for optimal subset selection in chain graphical models," Evolutionary Computation (CEC), 2010 IEEE Congress on , vol., no., pp.1-6, 18-23 July 2010
Downloads
- hVOIDP-1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 1.0, 1.0.1, 1.0.2 |
|---|---|
| Dependencies | array, base (>=3 && <5), hmatrix [details] |
| License | LicenseRef-GPL |
| Author | Qi Qi <qiqi789@gmail.com> |
| Maintainer | Qi Qi <qiqi789@gmail.com> |
| Category | AI |
| Home page | http://dslsrv4.cs.missouri.edu/~qqbm9 |
| Source repo | head: git clone git://github.com/qiqi789/VOIDP--haskell-implementation-for-the-optimal-value-of-information-in-chain-models.git |
| Uploaded | by QiQi at 2011-08-26T16:48:33Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Executables | hVOIDP |
| Downloads | 2679 total (10 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs not available [build log] All reported builds failed as of 2016-12-27 [all 7 reports] |