wolffd@0:
wolffd@0:
wolffd@0: Written by Kevin Murphy.
wolffd@0:
wolffd@0: Last updated 31 October 2005.
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Name wolffd@0: | Authors wolffd@0: | Src wolffd@0: | API wolffd@0: | Exec wolffd@0: | Cts wolffd@0: | GUI wolffd@0: | Params wolffd@0: | Struct wolffd@0: | Utility wolffd@0: | Free wolffd@0: | Undir wolffd@0: | Inference wolffd@0: | Comments wolffd@0: wolffd@0: wolffd@0: |
AgenaRisk wolffd@0: | Agena wolffd@0: | N wolffd@0: | Y wolffd@0: | W,U wolffd@0: | Cx wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | $ wolffd@0: | D wolffd@0: | JTree wolffd@0: | Simulation by Dynamic discretisation wolffd@0: wolffd@0: |
Analytica wolffd@0: | Lumina wolffd@0: | N wolffd@0: | Y wolffd@0: | W,M wolffd@0: | G wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | $ wolffd@0: | D wolffd@0: | sampling wolffd@0: | spread sheet compatible wolffd@0: wolffd@0: |
Banjo wolffd@0: | Hartemink wolffd@0: | Java wolffd@0: | Y wolffd@0: | W,U,M wolffd@0: | Cd wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | none wolffd@0: | structure learning of wolffd@0: static or dynamic networks of discrete variables wolffd@0: wolffd@0: wolffd@0: |
Bassist wolffd@0: | U. Helsinki wolffd@0: | C++ wolffd@0: | Y wolffd@0: | U wolffd@0: | G wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | MH wolffd@0: | Generates C++ for MCMC. wolffd@0: wolffd@0: |
Bayda wolffd@0: | U. Helsinki wolffd@0: | Java wolffd@0: | Y wolffd@0: | WUM wolffd@0: | G wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | Bayesian Naive Bayes classifier. wolffd@0: wolffd@0: |
BayesBuilder wolffd@0: | Nijman (U. Nijmegen) wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | - wolffd@0: wolffd@0: |
BayesiaLab wolffd@0: | Bayesia Ltd wolffd@0: | N wolffd@0: | N wolffd@0: | - wolffd@0: | Cd wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | $ wolffd@0: | CG wolffd@0: | jtree,G wolffd@0: | wolffd@0: wolffd@0: Structural learning, adaptive wolffd@0: questionnaires, dynamic models wolffd@0: wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
Bayesware Discoverer wolffd@0: | Bayesware wolffd@0: | N wolffd@0: | N wolffd@0: | WUM wolffd@0: | Cd wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | $ wolffd@0: | D wolffd@0: | ? wolffd@0: | Uses bound and collapse for learning with missing data. wolffd@0: wolffd@0: |
B-course wolffd@0: | U. Helsinki wolffd@0: | N wolffd@0: | N wolffd@0: | WUM wolffd@0: | Cd wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | Runs on their server: view results using a web browser. wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
Belief net power constructor wolffd@0: | Cheng (U.Alberta) wolffd@0: | N wolffd@0: | W wolffd@0: | W wolffd@0: | D wolffd@0: | Y wolffd@0: | Y wolffd@0: | CI wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | - wolffd@0: wolffd@0: |
BNT wolffd@0: | Murphy (U.C.Berkeley) wolffd@0: | Matlab/C wolffd@0: | Y wolffd@0: | WUM wolffd@0: | G wolffd@0: | N wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D,U wolffd@0: | Many wolffd@0: | Also handles dynamic models, like HMMs and Kalman filters. wolffd@0: wolffd@0: wolffd@0: |
BNJ wolffd@0: | Hsu (Kansas) wolffd@0: | Java wolffd@0: | - wolffd@0: | - wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | jtree, IS wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
BucketElim wolffd@0: | Rish (U.C.Irvine) wolffd@0: | C++ wolffd@0: | Y wolffd@0: | WU wolffd@0: | D wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Varelim wolffd@0: | - wolffd@0: wolffd@0: |
BUGS wolffd@0: | MRC/Imperial College wolffd@0: | N wolffd@0: | N wolffd@0: | WU wolffd@0: | Cs wolffd@0: | W wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Gibbs wolffd@0: | - wolffd@0: wolffd@0: |
Business Navigator 5 wolffd@0: | Data Digest Corp wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | Cd wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | $ wolffd@0: | D wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: |
CABeN wolffd@0: | Cousins et al. (Wash. U.) wolffd@0: | C wolffd@0: | Y wolffd@0: | WU wolffd@0: | D wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | 5 Sampling methods wolffd@0: | - wolffd@0: wolffd@0: |
Causal discoverer wolffd@0: | Vanderbilt wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | - wolffd@0: | - wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | - wolffd@0: | structure learning only wolffd@0: wolffd@0: wolffd@0: |
CoCo+Xlisp wolffd@0: | Badsberg (U. Aalborg) wolffd@0: | C/lisp wolffd@0: | Y wolffd@0: | U wolffd@0: | D wolffd@0: | Y wolffd@0: | Y wolffd@0: | CI wolffd@0: | N wolffd@0: | 0 wolffd@0: | U wolffd@0: | Jtree wolffd@0: | Designed for contingency tables. wolffd@0: wolffd@0: |
CIspace wolffd@0: | Poole et al. (UBC) wolffd@0: | Java wolffd@0: | N wolffd@0: | WU wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Varelim wolffd@0: | - wolffd@0: wolffd@0: |
DBNbox wolffd@0: | Roberts et al wolffd@0: | Matlab wolffd@0: | - wolffd@0: | - wolffd@0: | Y wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: wolffd@0: | Y wolffd@0: | D wolffd@0: | Various wolffd@0: | DBNs wolffd@0: wolffd@0: |
Deal wolffd@0: | Bottcher et al wolffd@0: | R wolffd@0: | - wolffd@0: | - wolffd@0: | G wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | None wolffd@0: | wolffd@0: Structure learning. wolffd@0: wolffd@0: |
DeriveIt wolffd@0: | DeriveIt LLC wolffd@0: | N wolffd@0: | - wolffd@0: | - wolffd@0: | ? wolffd@0: | ? wolffd@0: | Y wolffd@0: | Y wolffd@0: | ? wolffd@0: | $ wolffd@0: | D wolffd@0: | Jtree wolffd@0: | wolffd@0: Exploits local structure in CPDs. wolffd@0: wolffd@0: wolffd@0: |
Ergo> wolffd@0: | Noetic systems wolffd@0: | N wolffd@0: | Y wolffd@0: | W,M wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | $ wolffd@0: | D wolffd@0: | jtree wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
GDAGsim wolffd@0: | Wilkinson (U. Newcastle) wolffd@0: | C wolffd@0: | Y wolffd@0: | WUM wolffd@0: | G wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Exact wolffd@0: | Bayesian analysis of large linear Gaussian directed models. wolffd@0: wolffd@0: wolffd@0: |
Genie wolffd@0: | U. Pittsburgh wolffd@0: | N wolffd@0: | WU wolffd@0: | WU wolffd@0: | D wolffd@0: | W wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: |
GMRFsim wolffd@0: | Rue (U. Trondheim) wolffd@0: | C wolffd@0: | Y wolffd@0: | WUM wolffd@0: | G wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | U wolffd@0: | MCMC wolffd@0: | Bayesian analysis of large linear Gaussian undirected models. wolffd@0: wolffd@0: wolffd@0: |
GMTk wolffd@0: | Bilmes (UW), Zweig (IBM) wolffd@0: | N wolffd@0: | Y wolffd@0: | U wolffd@0: | D wolffd@0: | N wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Jtree wolffd@0: | wolffd@0: Designed for speech recognition. wolffd@0: wolffd@0: |
gR wolffd@0: | Lauritzen et al. wolffd@0: | R wolffd@0: | - wolffd@0: | - wolffd@0: | - wolffd@0: | - wolffd@0: | - wolffd@0: | - wolffd@0: | - wolffd@0: | 0 wolffd@0: | - wolffd@0: | - wolffd@0: | Currently vaporware wolffd@0: wolffd@0: wolffd@0: |
Grappa wolffd@0: | Green (Bristol) wolffd@0: | R wolffd@0: | - wolffd@0: | - wolffd@0: | D wolffd@0: | N wolffd@0: | N) wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: |
Hugin Expert wolffd@0: | Hugin wolffd@0: | N wolffd@0: | Y wolffd@0: | W wolffd@0: | G wolffd@0: | W wolffd@0: | Y wolffd@0: | CI wolffd@0: | Y wolffd@0: | $ wolffd@0: | CG wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: |
Hydra wolffd@0: | Warnes (U.Wash.) wolffd@0: | Java wolffd@0: | - wolffd@0: | - wolffd@0: | Cs wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | U,D wolffd@0: | MCMC wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: |
Ideal wolffd@0: | Rockwell wolffd@0: | Lisp wolffd@0: | Y wolffd@0: | WUM wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | Jtree wolffd@0: | GUI requires Allegro Lisp. wolffd@0: wolffd@0: |
Java Bayes wolffd@0: | Cozman (CMU) wolffd@0: | Java wolffd@0: | Y wolffd@0: | WUM wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | Varelim, jtree wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: |
KBaseAI wolffd@0: | Codeas wolffd@0: | N wolffd@0: | Y wolffd@0: | W,U wolffd@0: | D wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | $ wolffd@0: | D wolffd@0: | varelim wolffd@0: | client/server architecture, multiple users, access wolffd@0: control, query language wolffd@0: wolffd@0: wolffd@0: |
LibB wolffd@0: | Friedman (Hebrew U) wolffd@0: | N wolffd@0: | Y wolffd@0: | W wolffd@0: | D wolffd@0: | N wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | none wolffd@0: | wolffd@0: Structure learning wolffd@0: wolffd@0: |
MIM wolffd@0: | HyperGraph Software wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | G wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | $ wolffd@0: | CG wolffd@0: | Jtree wolffd@0: | Up to 52 variables. wolffd@0: wolffd@0: |
MSBNx wolffd@0: | Microsoft wolffd@0: | N wolffd@0: | Y wolffd@0: | W wolffd@0: | D wolffd@0: | W wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: |
Netica wolffd@0: | Norsys wolffd@0: | N wolffd@0: | WUM wolffd@0: | W wolffd@0: | G wolffd@0: | W wolffd@0: | Y wolffd@0: | N wolffd@0: | Y wolffd@0: | $ wolffd@0: | D wolffd@0: | jtree wolffd@0: | - wolffd@0: wolffd@0: |
Optimal wolffd@0: Reinsertion wolffd@0: | Moore, Wong (CMU) wolffd@0: | N wolffd@0: | N wolffd@0: | W,U wolffd@0: | D wolffd@0: | N wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | none wolffd@0: | structure learning wolffd@0: wolffd@0: wolffd@0: |
PMT wolffd@0: | Pavlovic (BU) wolffd@0: | Matlab/C wolffd@0: | - wolffd@0: | - wolffd@0: | D wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | special purpose wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
PNL wolffd@0: | Eruhimov (Intel) wolffd@0: | C++ wolffd@0: | - wolffd@0: | - wolffd@0: | D wolffd@0: | N wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | U,D wolffd@0: | Jtree wolffd@0: | wolffd@0: A C++ version of BNT; will be released 12/03. wolffd@0: wolffd@0: wolffd@0: |
Pulcinella wolffd@0: | IRIDIA wolffd@0: | Lisp wolffd@0: | Y wolffd@0: | WUM wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | Uses valuation systems for non-probabilistic calculi. wolffd@0: wolffd@0: |
RISO wolffd@0: | Dodier (U.Colorado) wolffd@0: | Java wolffd@0: | Y wolffd@0: | WUM wolffd@0: | G wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Polytree wolffd@0: | Distributed implementation. wolffd@0: wolffd@0: wolffd@0: wolffd@0: |
Sam Iam wolffd@0: | Darwiche (UCLA) wolffd@0: | N wolffd@0: | N ? wolffd@0: | WU ? (Java executable) wolffd@0: | G ? wolffd@0: | Y wolffd@0: | Y wolffd@0: | N ? wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | Recursive conditioning wolffd@0: | Also does sensitivity Analysis wolffd@0: wolffd@0: wolffd@0: |
Tetrad wolffd@0: | CMU wolffd@0: | N wolffd@0: | N wolffd@0: | WU wolffd@0: | G wolffd@0: | N wolffd@0: | Y wolffd@0: | CI wolffd@0: | N wolffd@0: | 0 wolffd@0: | U,D wolffd@0: | None wolffd@0: | - wolffd@0: wolffd@0: wolffd@0: |
UnBBayes wolffd@0: | ? wolffd@0: | Java wolffd@0: | - wolffd@0: | - wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | jtree wolffd@0: | K2 for struct learning wolffd@0: wolffd@0: wolffd@0: |
Vibes wolffd@0: | Winn & Bishop (U. Cambridge) wolffd@0: | Java wolffd@0: | Y wolffd@0: | WU wolffd@0: | Cx wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | 0 wolffd@0: | D wolffd@0: | Variational wolffd@0: | wolffd@0: Not yet available. wolffd@0: wolffd@0: wolffd@0: |
Web Weaver wolffd@0: | Xiang (U.Regina) wolffd@0: | Java wolffd@0: | Y wolffd@0: | WUM wolffd@0: | D wolffd@0: | Y wolffd@0: | N wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | D wolffd@0: | ? wolffd@0: | - wolffd@0: wolffd@0: |
WinMine wolffd@0: | Microsoft wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | Cx wolffd@0: | Y wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | 0 wolffd@0: | U,D wolffd@0: | None wolffd@0: | Learns BN or dependency net structure. wolffd@0: wolffd@0: |
XBAIES 2.0 wolffd@0: | Cowell (City U.) wolffd@0: | N wolffd@0: | N wolffd@0: | W wolffd@0: | G wolffd@0: | Y wolffd@0: | Y wolffd@0: | N wolffd@0: | Y wolffd@0: | 0 wolffd@0: | CG wolffd@0: | Jtree wolffd@0: | - wolffd@0: wolffd@0: |
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