hVOIDP: Optimal variable selection in chain graphical model.

[ ai, library, program ] [ Propose Tags ] [ Report a vulnerability ]

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

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
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 2011-08-26T17:43:50Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables hVOIDP
Downloads 2724 total (1 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs uploaded by user
Build status unknown [no reports yet]