BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
author: ziejd2 2017-09-28 15:04:40 -0500
committer: ziejd2 2017-09-28 15:04:40 -0500
commit: 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
tree: d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/bnsoftOld.html
parent: 7cc31810d53176e805532b2789955f4eedbce6bb (diff)
download: BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
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+<head>
+<TITLE>Software Packages for Graphical Models / Bayesian Networks</TITLE>
+</head>
+ 
+<body>
+
+<h1>
+Software Packages for Graphical Models / Bayesian Networks
+</h1>
+<p>
+Written by Kevin Murphy.
+<br>
+Last updated 31 October  2005.
+
+<h3>Remarks</h3>
+<ul>
+
+<li>
+A much more detailed comparison of some of these software packages is
+available from Appendix B of 
+<a href="http://www.csse.monash.edu.au/bai/">Bayesian AI</a>, by 
+Ann Nicholson and Kevin Korb.
+This appendix is
+available
+<a
+href="http://www.csse.monash.edu.au/bai/book/appendix_b.pdf">here</a>,
+and is based on the online comparison below.
+
+<li>
+An online <a
+href="http://servasi.insa-rouen.fr/enseignement/siteUV/rna/BNT/software.html">French
+version</a> of this page is also available (not necessarily up-to-date).
+
+<!--
+<li>
+Matt Turk has made a
+<a href="http://ilab.cs.ucsb.edu/BayesNets/Bayesia_Software.pdf">pdf
+version of this page</a> (not necessarily up-to-date) with some extra
+comments on the packages.
+-->
+<!--
+<br>
+(He also has a
+<a href="http://ilab.cs.ucsb.edu/BayesNets">cached copy</a> of several of
+the packages listed below, which you can look at if links are down.)
+-->
+
+</ul>
+
+<h3>What do the headers in the table mean?</h3>
+
+<ul>
+<li> Src = source code included? (N=no) If so, what language?
+
+<li> API = application program interface included?
+(N means the program cannot be integrated into your code, i.e., it
+must be run as a standalone executable.)
+
+<li> Exec = Executable runs on W = Windows (95/98/NT), U = Unix, M =
+Mac, or - = any machine with a compiler.
+
+<li> Cts = are continuous (latent) nodes supported?
+G = (conditionally) Gaussians nodes supported analytically,
+Cs = continuous nodes supported by sampling,
+Cd = continuous nodes supported by discretization,
+Cx = continuous nodes supported by some unspecified method,
+D = only discrete nodes supported.
+
+
+<li> GUI = Graphical User Interface included?
+
+<li> Learns parameters?
+
+<li> Learns structure? CI = means uses conditional independency tests
+
+<!--
+<li> Sample = sampling methods (e.g., likelihood weighting, MCMC) supported?
+-->
+
+<li> Utility = utility and decision nodes (i.e., influence diagrams)
+supported?
+
+<li> Free?
+0 = free (although possibly only for academic use).
+$ = commercial software (although most have free versions
+which are restricted in
+various ways, e.g., the model size is limited, or models cannot be
+saved, or there is no API.)
+
+
+<li> Undir?
+What kind of graphs are supported?
+U = only undirected graphs,
+D = only directed graphs,
+UD = both undirected and directed,
+CG = chain graphs (mixed directed/undirected).
+
+
+<li> Inference = which inference algorithm is used?
+jtree = junction tree,
+varelim = variable (bucket) elimination,
+MH = Metropols Hastings,
+G = Gibbs sampling,
+IS = importance sampling,
+sampling = some other Monte Carlo method,
+polytree = Pearl's algorithm restricted to a graph with no cycles, 
+none = no inference supported (hence the program is only designed for
+structure learning from completely observed data) 
+
+<li> Comments.
+If in "quotes", I am quoting the authors at their request.
+
+</ul>
+
+
+
+<!--
+The following table is automatically generated as follows
+bnsoft_to_html.pl < bnsoft.txt > ! soft.html  
+Then soft.html is inserted and the last line is tidied up.
+-->
+
+<table border>
+<tr>
+<td> Name
+<td> Authors
+<td> Src
+<td> API
+<td> Exec
+<td> Cts
+<td> GUI
+<td> Params
+<td> Struct
+<td> Utility
+<td> Free
+<td> Undir
+<td> Inference
+<td> Comments
+
+
+<tr>
+<td> <!--Name--> <a href=http://www.agenarisk.com > AgenaRisk</a>
+<td> <!--Authors-->Agena
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->W,U
+<td> <!--Cts-->Cx
+<td> <!--GUI-->Y
+<td> <!--Params-->Y
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->$
+<td> <!--Undir-->D
+<td> <!--Inference-->JTree
+<td> <!--Comments-->Simulation by Dynamic discretisation
+
+<tr>
+<td> <!--Name--> <a href=http://www.lumina.com > Analytica</a>
+<td> <!--Authors-->Lumina
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->W,M
+<td> <!--Cts-->G
+<td> <!--GUI-->Y
+<td> <!--Params-->N
+<td> <!--Struct-->N
+<td> <!--Utility-->Y
+<td> <!--Free-->$
+<td> <!--Undir-->D
+<td> <!--Inference-->sampling
+<td> <!--Comments-->spread sheet compatible
+
+<tr>
+<td> <!--Name--> <a href=http://www.cs.duke.edu/~amink/software/banjo/> Banjo</a>
+<td> <!--Authors-->Hartemink
+<td> <!--Src-->Java
+<td> <!--API-->Y
+<td> <!--Exec-->W,U,M
+<td> <!--Cts-->Cd
+<td> <!--GUI-->N
+<td> <!--Params-->N
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->none
+<td> <!--Comments--> structure learning of
+static or dynamic networks of discrete variables
+
+
+<tr>
+<td><a href=http://www.cs.Helsinki.FI/research/fdk/bassist/> Bassist</a>
+<td>        U. Helsinki
+<td>            C++
+<td>            Y
+<td>           U
+<td>            G
+<td>            N
+<td>     Y
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      MH
+<td>       Generates C++ for MCMC.
+
+<tr>
+<td><a href=http://www.cs.Helsinki.FI/research/cosco/Projects/NONE/SW/ > Bayda</a>
+<td>        U. Helsinki
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>            G
+<td>            Y
+<td>     Y
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      ?
+<td>       Bayesian Naive Bayes classifier.
+
+<tr>
+<td><a href=http://www.mbfys.kun.nl/snn/Research/bayesbuilder/  >  BayesBuilder</a>
+<td>        Nijman (U. Nijmegen)
+<td>            N
+<td>            N
+<td>           W
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        N
+<td>         0
+<td>      D
+<td>      ?
+<td>       -
+
+<tr>
+<td> <!--Name--> <a
+href="http://www.bayesia.com">BayesiaLab</a>
+<td> <!--Authors-->Bayesia Ltd
+<td> <!--Src-->N
+<td> <!--API-->N
+<td> <!--Exec-->-
+<td> <!--Cts-->Cd
+<td> <!--GUI-->Y
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->$
+<td> <!--Undir-->CG
+<td> <!--Inference-->jtree,G
+<td> <!--Comments-->
+<!--
+Structural learning (association discovery,
+classification), Bayesian clustering with analysis report generation,
+missing values 
+processing, essential graphs, analysis toolbox, adaptive
+questionnaires, dynamic models
+-->
+Structural learning, adaptive
+questionnaires, dynamic models
+
+
+
+
+<tr>
+
+<td><a href=http://www.bayesware.com>Bayesware Discoverer</a>
+<td>        Bayesware
+<td>            N
+<td>            N
+<td>           WUM
+<td>            Cd
+<td>            Y
+<td>     Y
+<td>     Y
+<td>        N
+<td>            $
+<td>      D
+<td>      ?
+<td>       Uses bound and collapse for learning with missing data.
+
+<tr>
+<td><a href=http://B-Course.hiit.fi/> B-course</a>
+<td>        U.  Helsinki
+<td>            N
+<td>            N
+<td>           WUM
+<td>            Cd
+<td>            Y
+<td>     Y
+<td>     Y
+<td>        N
+<td>            0
+<td>      D
+<td>      ?
+<td>       Runs on their server: view results using a web browser.
+
+<!--
+<tr>
+<td><a href="http://www.aist.go.jp/ETL/etl/suri/motomura/BN/bn-java.html">Bayonnet</a>
+<td>        Motomura (ETL)
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>            NN
+<td>            Cx
+<td>     Y
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      ?
+<td>       For learning, represents BN as a neural net.
+-->
+
+<tr>
+<td><a href=http://www.cs.ualberta.ca/~jcheng/bnpc.htm  >  Belief net power constructor</a>
+<td>        Cheng (U.Alberta)
+<td>            N
+<td>            W
+<td>           W
+<td>            D
+<td>            Y
+<td>     Y
+<td>     CI
+<td>        N
+<td>            0
+<td>      D
+<td>      ?
+<td>       -
+
+<tr>
+<td><a href=http://www.cs.berkeley.edu/~murphyk/Bayes/bnt.html  >  BNT</a>
+<td>        Murphy (U.C.Berkeley)
+<td>            Matlab/C
+<td>            Y
+<td>           WUM
+<td>            G
+<td>            N
+<td>     Y
+<td>     Y
+<td>        Y
+<td>            0
+<td>      D,U
+<td>      Many
+<td>       Also handles dynamic models, like HMMs and Kalman filters.
+
+
+<tr>
+<td> <!--Name--> <a href="http://bndev.sourceforge.net/">BNJ</a>
+<td> <!--Authors-->Hsu (Kansas)
+<td> <!--Src-->Java
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->D
+<td> <!--GUI-->Y
+<td> <!--Params-->N
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->jtree, IS
+<td> <!--Comments-->-
+
+<!--
+<tr>
+<td><a href=http://94.parkview-court.net/project/  >  BN Toolkit</a>
+<td>        Gowans (Imperial)
+<td>            Visual Basic
+<td>            Y
+<td>           W
+<td>            D
+<td>            Y
+<td>     N
+<td>     Y
+<td>        N
+<td>            0
+<td>      D
+<td>      Polytree
+<td>       Parser and GUI for the XML-BIF format.
+-->
+
+<tr>
+<td><a href=http://www.ics.uci.edu/~irinar  >  BucketElim</a>
+<td>        Rish (U.C.Irvine)
+<td>            C++
+<td>            Y
+<td>           WU
+<td>            D
+<td>            N
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Varelim
+<td>       -
+
+<tr>
+<td><a href=http://www.mrc-bsu.cam.ac.uk/bugs  >  BUGS</a>
+<td>        MRC/Imperial College
+<td>            N
+<td>            N
+<td>           WU
+<td>            Cs
+<td>            W
+<td>     Y
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Gibbs
+<td>       -
+
+<tr>
+<td><a href=http://www.data-digest.com  >  Business Navigator 5</a>
+<td>        Data Digest Corp
+<td>            N
+<td>            N
+<td>           W
+<td>            Cd
+<td>            Y
+<td>     Y
+<td>     Y
+<td>        N
+<td>            $
+<td>      D
+<td>      Jtree
+<td>       -
+
+<tr>
+<td><a href=http://www-pcd.stanford.edu/cousins/caben-1.1.tar.gz  >  CABeN</a>
+<td>        Cousins et al. (Wash. U.)
+<td>            C
+<td>            Y
+<td>           WU
+<td>            D
+<td>            N
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      5 Sampling methods
+<td>       -
+
+<tr>
+<td> <!--Name--> <a href=
+http://discover1.mc.vanderbilt.edu/discover/public/>Causal discoverer</a>
+<td> <!--Authors-->Vanderbilt
+<td> <!--Src-->N
+<td> <!--API-->N
+<td> <!--Exec-->W
+<td> <!--Cts-->-
+<td> <!--GUI-->-
+<td> <!--Params-->N
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->-
+<td> <!--Comments-->structure learning only
+
+
+<tr>
+<td><a href=http://www.math.auc.dk/~jhb/CoCo/information.html  >  CoCo+Xlisp</a>
+<td>        Badsberg (U. Aalborg)
+<td>            C/lisp
+<td>            Y
+<td>           U
+<td>            D
+<td>            Y
+<td>     Y
+<td>     CI
+<td>        N
+<td>            0
+<td>      U
+<td>      Jtree
+<td>       Designed for contingency tables.
+
+<tr>
+<td><a href=http://www.cs.ubc.ca/labs/lci/CIspace/  >  CIspace</a>
+<td>        Poole et al. (UBC)
+<td>            Java
+<td>            N
+<td>           WU
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Varelim
+<td>       -
+
+<tr>
+<td> <!--Name--> <a href="http://www.robots.ox.ac.uk/~parg/software.html">DBNbox</a>
+<td> <!--Authors-->Roberts et al
+<td> <!--Src-->Matlab
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->Y
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+
+<td> <!--Free-->Y
+<td> <!--Undir-->D
+<td> <!--Inference-->Various
+<td> <!--Comments-->DBNs
+
+<tr>
+<td> <!--Name--><a href=http://www.math.auc.dk/novo/deal>Deal</a>
+<td> <!--Authors-->Bottcher et al
+<td> <!--Src-->R
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->G
+<td> <!--GUI-->Y
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->None
+<td> <!--Comments-->
+Structure learning.
+
+<tr>
+<td><a href=http://www.deriveit.com >DeriveIt</a>
+<td> <!--Authors-->DeriveIt LLC
+<td> <!--Src-->N
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->?
+<td> <!--GUI-->?
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->?
+<td> <!--Free-->$
+<td> <!--Undir-->D
+<td> <!--Inference-->Jtree
+<td> <!--Comments-->
+Exploits local structure in CPDs.
+
+
+<tr>
+<td><a href=http://www.noeticsystems.com>Ergo</>
+<td> <!--Authors-->Noetic systems
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->W,M
+<td> <!--Cts-->D
+<td> <!--GUI-->Y
+<td> <!--Params-->N
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->$
+<td> <!--Undir-->D
+<td> <!--Inference-->jtree
+<td> <!--Comments-->-
+
+<!--
+<tr>
+<td><a href=http://www.ens-lyon.fr/~jnarboux/Floue/index.html>FLoUE/BIFtoN</a>
+<td>        ENS Lyon
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>           D
+<td>            N
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Jtree
+<td>       -
+-->
+
+<tr>
+<td><a href=http://www.staff.ncl.ac.uk/d.j.wilkinson/software/gdagsim/  >  GDAGsim</a>
+<td>        Wilkinson (U. Newcastle)
+<td>            C
+<td>            Y
+<td>           WUM
+<td>            G
+<td>            N
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Exact
+<td>    Bayesian analysis of large linear Gaussian directed models.
+
+
+<tr>
+<td><a href=http://www2.sis.pitt.edu/~genie  >  Genie</a>
+<td>        U. Pittsburgh
+<td>            N
+<td>            WU
+<td>           WU
+<td>            D
+<td>            W
+<td>     N
+<td>     N
+<td>        Y
+<td>            0
+<td>      D
+<td>      Jtree
+<td>       -
+
+<tr>
+<td><a href=http://www.math.ntnu.no/~hrue/GMRFsim/  >  GMRFsim</a>
+<td>        Rue (U. Trondheim)
+<td>            C
+<td>            Y
+<td>           WUM
+<td>            G
+<td>            N
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      U
+<td>      MCMC
+<td>       Bayesian analysis of large linear Gaussian undirected models.
+
+
+<tr>
+<td> <!--Name--> <a href=http://ssli.ee.washington.edu/~bilmes/gmtk/>GMTk</a>
+<td> <!--Authors-->Bilmes (UW), Zweig (IBM)
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->U
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->Jtree
+<td> <!--Comments-->
+Designed for speech recognition.
+
+<tr>
+<td> <!--Name--> <a href=http://www.r-project.org/gR>gR</a>
+<td> <!--Authors-->Lauritzen et al.
+<td> <!--Src-->R
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->-
+<td> <!--GUI-->-
+<td> <!--Params-->-
+<td> <!--Struct-->-
+<td> <!--Utility-->-
+<td> <!--Free-->0
+<td> <!--Undir-->-
+<td> <!--Inference-->-
+<td> <!--Comments-->Currently vaporware
+
+
+<tr>
+<td> <!--Name--> <a href=http://www.stats.bris.ac.uk/~peter/Grappa/>Grappa</a>
+<td> <!--Authors-->Green (Bristol)
+<td> <!--Src-->R
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->N)
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->Jtree
+<td> <!--Comments-->-
+
+
+<tr>
+<td><a href=http://www.hugin.com  >  Hugin Expert</a>
+<td>        Hugin
+<td>            N
+<td>            Y
+<td>           W
+<td>            G
+<td>            W
+<td>     Y
+<td>     CI
+<td>        Y
+<td>            $
+<td>      CG
+<td>      Jtree
+<td>       -
+
+
+<tr>
+<td> <!--Name--> <a href=http://www.warnes.net/GregsSoftwareLinks/index_html?Tab=MCMC>Hydra</a>
+<td> <!--Authors-->Warnes (U.Wash.)
+<td> <!--Src-->Java
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->Cs
+<td> <!--GUI-->Y
+<td> <!--Params-->Y
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->U,D
+<td> <!--Inference-->MCMC
+<td> <!--Comments-->-
+
+
+<tr>
+<!-- http://www.rpal.rockwell.com/ideal.html  -->
+<td><a href=http://yoda.cis.temple.edu:8080/ideal>Ideal</a>
+<td>        Rockwell
+<td>            Lisp
+<td>            Y
+<td>           WUM
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        Y
+<td>            0
+<td>      D
+<td>      Jtree
+<td>       GUI requires Allegro Lisp.
+
+<tr>
+<td><a href=http://www.cs.cmu.edu/~javabayes/Home/  >  Java Bayes</a>
+<td>        Cozman (CMU)
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        Y
+<td>            0
+<td>      D
+<td>      Varelim, jtree
+<td>       -
+
+
+<tr>
+<td> <!--Name--><a href="http://www.codeas.com/kbaseai.php" >KBaseAI</a>
+<td> <!--Authors-->Codeas
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->W,U
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->N
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->$
+<td> <!--Undir-->D
+<td> <!--Inference-->varelim
+<td> <!--Comments-->client/server architecture, multiple users, access
+control, query language
+
+
+<tr>
+<td> <!--Name--> <a href=http://www.cs.huji.ac.il/labs/compbio/LibB>LibB</a>
+<td> <!--Authors-->Friedman (Hebrew U)
+<td> <!--Src-->N
+<td> <!--API-->Y
+<td> <!--Exec-->W
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->none
+<td> <!--Comments-->
+Structure learning
+
+<tr>
+<td><a href=http://www.hypergraph.dk/  >  MIM</a>
+<td>        HyperGraph Software
+<td>            N
+<td>            N
+<td>           W
+<td>            G
+<td>            Y
+<td>     Y
+<td>     Y
+<td>        N
+<td>            $
+<td>      CG
+<td>      Jtree
+<td>       Up to 52 variables.
+
+<tr>
+<td><a href=http://research.microsoft.com/adapt/MSBNx/  >  MSBNx</a>
+<td>        Microsoft
+<td>            N
+<td>            Y
+<td>           W
+<td>            D
+<td>            W
+<td>     N
+<td>     N
+<td>        Y
+<td>            0
+<td>      D
+<td>      Jtree
+<td>       -
+
+<tr>
+<td><a href=http://www.norsys.com  >  Netica</a>
+<td>        Norsys
+<td>            N
+<td>            WUM
+<td>           W
+<td>            G
+<td>            W
+<td>     Y
+<td>     N
+<td>        Y
+<td>            $
+<td>      D
+<td>      jtree
+<td>       -
+
+<tr>
+<td> <!--Name--> <a href="http://www.autonlab.org/autonweb/showSoftware/149/">Optimal
+Reinsertion</a>
+<td> <!--Authors-->Moore, Wong (CMU)
+<td> <!--Src-->N
+<td> <!--API-->N
+<td> <!--Exec-->W,U
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->none
+<td> <!--Comments-->structure learning
+
+
+<tr>
+<td> <!--Name--> <a href="http://people.bu.edu/vladimir/pmt/index.html">PMT</a>
+<td> <!--Authors-->Pavlovic (BU)
+<td> <!--Src-->Matlab/C
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->N
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->special purpose
+<td> <!--Comments-->-
+
+
+
+<tr>
+<td> <!--Name--> <a href=http://www.intel.com/research/mrl/pnl/>PNL</a>
+<td> <!--Authors-->Eruhimov (Intel)
+<td> <!--Src-->C++
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->D
+<td> <!--GUI-->N
+<td> <!--Params-->Y
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->U,D
+<td> <!--Inference-->Jtree
+<td> <!--Comments-->
+A C++ version of BNT; will be released 12/03.
+
+
+<tr>
+<td><a href=http://iridia.ulb.ac.be/pulcinella/Welcome.html  >  Pulcinella</a>
+<td>        IRIDIA
+<td>            Lisp
+<td>            Y
+<td>           WUM
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      ?
+<td>       Uses valuation systems for non-probabilistic calculi.
+
+<tr>
+<!-- http://civil.colorado.edu/~dodier/sonero-mirror/index.html  -->
+<td><a href=http://sourceforge.net/projects/riso>RISO</a>
+<td>        Dodier (U.Colorado)
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>            G
+<td>            Y
+<td>     N
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Polytree
+<td>       Distributed implementation.
+
+
+
+<tr>
+<td> <!--Name--> <a href=http://reasoning.cs.ucla.edu/samiam/> Sam Iam</a>
+<td> <!--Authors-->Darwiche (UCLA)
+<td> <!--Src-->N
+<td> <!--API-->N ?
+<td> <!--Exec-->WU ? (Java executable)
+<td> <!--Cts-->G ?
+<td> <!--GUI-->Y
+<td> <!--Params-->Y
+<td> <!--Struct-->N ?
+<td> <!--Utility-->Y
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->Recursive conditioning
+<td> <!--Comments-->Also does sensitivity Analysis
+
+
+<tr>
+<td><a href=http://www.phil.cmu.edu/tetrad/>Tetrad</a>
+<td>        CMU
+<td>            N
+<td>            N
+<td>           WU
+<td>            G
+<td>            N
+<td>     Y
+<td>     CI
+<td>        N
+<td>            0
+<td>      U,D
+<td>      None
+<td>       -
+
+
+<tr>
+<td> <!--Name--> <a href="https://sourceforge.net/projects/unbbayes/">UnBBayes</a>
+<td> <!--Authors-->?
+<td> <!--Src-->Java
+<td> <!--API-->-
+<td> <!--Exec-->-
+<td> <!--Cts-->D
+<td> <!--GUI-->Y
+<td> <!--Params-->N
+<td> <!--Struct-->Y
+<td> <!--Utility-->N
+<td> <!--Free-->0
+<td> <!--Undir-->D
+<td> <!--Inference-->jtree
+<td> <!--Comments-->K2 for struct learning
+
+
+<tr>
+<td><a href=http://www.inference.phy.cam.ac.uk/jmw39/>Vibes</a>
+<td>        Winn & Bishop (U. Cambridge)
+<td>            Java
+<td>            Y
+<td>           WU
+<td>            Cx
+<td>            Y
+<td>     Y
+<td>     N
+<td>        N
+<td>            0
+<td>      D
+<td>      Variational
+<td>    
+Not yet available.
+
+
+<tr>
+<td><a href=http://snowhite.cis.uoguelph.ca/faculty_info/yxiang/ww3/>  Web Weaver</a>
+<td>        Xiang (U.Regina)
+<td>            Java
+<td>            Y
+<td>           WUM
+<td>            D
+<td>            Y
+<td>     N
+<td>     N
+<td>        Y
+<td>            0
+<td>      D
+<td>      ?
+<td>       -
+
+<tr>
+<td><a href=http://research.microsoft.com/~dmax/WinMine/tooldoc.htm  >  WinMine</a>
+<td>        Microsoft
+<td>            N
+<td>            N
+<td>           W
+<td>            Cx
+<td>            Y
+<td>     Y
+<td>     Y
+<td>        N
+<td>            0
+<td>      U,D
+<td>      None
+<td>       Learns BN or dependency net structure.
+
+<tr>
+<td><a href=http://www.staff.city.ac.uk/~rgc/webpages/xbpage.html >  XBAIES 2.0</a>
+<td>        Cowell (City U.)
+<td>            N
+<td>            N
+<td>           W
+<td>            G
+<td>            Y
+<td>     Y
+<td>     N
+<td>        Y
+<td>            0
+<td>      CG
+<td>      Jtree
+<td>       -
+
+<tr>
+
+</table>
+
+
+<p>
+<h2>Other sites related to (software for) graphical models</h2>
+<ul>
+
+
+<li>
+<a
+href="http://directory.google.com/Top/Computers/Artificial_Intelligence/Belief_Networks/Software/">
+Google's list</a> of Bayes net software.
+
+<!--
+<li> <a href="http://www.sis.pitt.edu/~dsl/da-software.html">
+Decision analysis programs</a>, list maintained by 
+Marek Druzdzel.
+-->
+
+<li> <a href="http://www.cs.cmu.edu/~lorens/papers/mscthesis.html">
+Comparison of decision analysis software packages</a> by
+H�kan L. Younes. The emphasis is on real-time decision making.
+
+<li> <a href="http://bayes.stat.washington.edu/almond/belief.html">
+Older belief net programs</a> (c 1996), a list created (but no longer maintained)
+by Russ Almond. 
+
+<li>
+<a
+href="http://www.cs.huji.ac.il/labs/compbio/Repository">
+Repository of Bayes nets</a>.
+
+</document>
author	ziejd2	2017-09-28 15:04:40 -0500
committer	ziejd2	2017-09-28 15:04:40 -0500
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tree	d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/bnsoftOld.html
parent	7cc31810d53176e805532b2789955f4eedbce6bb (diff)
download	BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz