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author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 <head>
Daniel@0 2 <TITLE>Software Packages for Graphical Models / Bayesian Networks</TITLE>
Daniel@0 3 </head>
Daniel@0 4
Daniel@0 5 <body>
Daniel@0 6
Daniel@0 7 <h1>
Daniel@0 8 Software Packages for Graphical Models / Bayesian Networks
Daniel@0 9 </h1>
Daniel@0 10 <p>
Daniel@0 11 Written by Kevin Murphy.
Daniel@0 12 <br>
Daniel@0 13 Last updated 31 October 2005.
Daniel@0 14
Daniel@0 15 <h3>Remarks</h3>
Daniel@0 16 <ul>
Daniel@0 17
Daniel@0 18 <li>
Daniel@0 19 A much more detailed comparison of some of these software packages is
Daniel@0 20 available from Appendix B of
Daniel@0 21 <a href="http://www.csse.monash.edu.au/bai/">Bayesian AI</a>, by
Daniel@0 22 Ann Nicholson and Kevin Korb.
Daniel@0 23 This appendix is
Daniel@0 24 available
Daniel@0 25 <a
Daniel@0 26 href="http://www.csse.monash.edu.au/bai/book/appendix_b.pdf">here</a>,
Daniel@0 27 and is based on the online comparison below.
Daniel@0 28
Daniel@0 29 <li>
Daniel@0 30 An online <a
Daniel@0 31 href="http://servasi.insa-rouen.fr/enseignement/siteUV/rna/BNT/software.html">French
Daniel@0 32 version</a> of this page is also available (not necessarily up-to-date).
Daniel@0 33
Daniel@0 34 <!--
Daniel@0 35 <li>
Daniel@0 36 Matt Turk has made a
Daniel@0 37 <a href="http://ilab.cs.ucsb.edu/BayesNets/Bayesia_Software.pdf">pdf
Daniel@0 38 version of this page</a> (not necessarily up-to-date) with some extra
Daniel@0 39 comments on the packages.
Daniel@0 40 -->
Daniel@0 41 <!--
Daniel@0 42 <br>
Daniel@0 43 (He also has a
Daniel@0 44 <a href="http://ilab.cs.ucsb.edu/BayesNets">cached copy</a> of several of
Daniel@0 45 the packages listed below, which you can look at if links are down.)
Daniel@0 46 -->
Daniel@0 47
Daniel@0 48 </ul>
Daniel@0 49
Daniel@0 50 <h3>What do the headers in the table mean?</h3>
Daniel@0 51
Daniel@0 52 <ul>
Daniel@0 53 <li> Src = source code included? (N=no) If so, what language?
Daniel@0 54
Daniel@0 55 <li> API = application program interface included?
Daniel@0 56 (N means the program cannot be integrated into your code, i.e., it
Daniel@0 57 must be run as a standalone executable.)
Daniel@0 58
Daniel@0 59 <li> Exec = Executable runs on W = Windows (95/98/NT), U = Unix, M =
Daniel@0 60 Mac, or - = any machine with a compiler.
Daniel@0 61
Daniel@0 62 <li> Cts = are continuous (latent) nodes supported?
Daniel@0 63 G = (conditionally) Gaussians nodes supported analytically,
Daniel@0 64 Cs = continuous nodes supported by sampling,
Daniel@0 65 Cd = continuous nodes supported by discretization,
Daniel@0 66 Cx = continuous nodes supported by some unspecified method,
Daniel@0 67 D = only discrete nodes supported.
Daniel@0 68
Daniel@0 69
Daniel@0 70 <li> GUI = Graphical User Interface included?
Daniel@0 71
Daniel@0 72 <li> Learns parameters?
Daniel@0 73
Daniel@0 74 <li> Learns structure? CI = means uses conditional independency tests
Daniel@0 75
Daniel@0 76 <!--
Daniel@0 77 <li> Sample = sampling methods (e.g., likelihood weighting, MCMC) supported?
Daniel@0 78 -->
Daniel@0 79
Daniel@0 80 <li> Utility = utility and decision nodes (i.e., influence diagrams)
Daniel@0 81 supported?
Daniel@0 82
Daniel@0 83 <li> Free?
Daniel@0 84 0 = free (although possibly only for academic use).
Daniel@0 85 $ = commercial software (although most have free versions
Daniel@0 86 which are restricted in
Daniel@0 87 various ways, e.g., the model size is limited, or models cannot be
Daniel@0 88 saved, or there is no API.)
Daniel@0 89
Daniel@0 90
Daniel@0 91 <li> Undir?
Daniel@0 92 What kind of graphs are supported?
Daniel@0 93 U = only undirected graphs,
Daniel@0 94 D = only directed graphs,
Daniel@0 95 UD = both undirected and directed,
Daniel@0 96 CG = chain graphs (mixed directed/undirected).
Daniel@0 97
Daniel@0 98
Daniel@0 99 <li> Inference = which inference algorithm is used?
Daniel@0 100 jtree = junction tree,
Daniel@0 101 varelim = variable (bucket) elimination,
Daniel@0 102 MH = Metropols Hastings,
Daniel@0 103 G = Gibbs sampling,
Daniel@0 104 IS = importance sampling,
Daniel@0 105 sampling = some other Monte Carlo method,
Daniel@0 106 polytree = Pearl's algorithm restricted to a graph with no cycles,
Daniel@0 107 none = no inference supported (hence the program is only designed for
Daniel@0 108 structure learning from completely observed data)
Daniel@0 109
Daniel@0 110 <li> Comments.
Daniel@0 111 If in "quotes", I am quoting the authors at their request.
Daniel@0 112
Daniel@0 113 </ul>
Daniel@0 114
Daniel@0 115
Daniel@0 116
Daniel@0 117 <!--
Daniel@0 118 The following table is automatically generated as follows
Daniel@0 119 bnsoft_to_html.pl < bnsoft.txt > ! soft.html
Daniel@0 120 Then soft.html is inserted and the last line is tidied up.
Daniel@0 121 -->
Daniel@0 122
Daniel@0 123 <table border>
Daniel@0 124 <tr>
Daniel@0 125 <td> Name
Daniel@0 126 <td> Authors
Daniel@0 127 <td> Src
Daniel@0 128 <td> API
Daniel@0 129 <td> Exec
Daniel@0 130 <td> Cts
Daniel@0 131 <td> GUI
Daniel@0 132 <td> Params
Daniel@0 133 <td> Struct
Daniel@0 134 <td> Utility
Daniel@0 135 <td> Free
Daniel@0 136 <td> Undir
Daniel@0 137 <td> Inference
Daniel@0 138 <td> Comments
Daniel@0 139
Daniel@0 140
Daniel@0 141 <tr>
Daniel@0 142 <td> <!--Name--> <a href=http://www.agenarisk.com > AgenaRisk</a>
Daniel@0 143 <td> <!--Authors-->Agena
Daniel@0 144 <td> <!--Src-->N
Daniel@0 145 <td> <!--API-->Y
Daniel@0 146 <td> <!--Exec-->W,U
Daniel@0 147 <td> <!--Cts-->Cx
Daniel@0 148 <td> <!--GUI-->Y
Daniel@0 149 <td> <!--Params-->Y
Daniel@0 150 <td> <!--Struct-->N
Daniel@0 151 <td> <!--Utility-->N
Daniel@0 152 <td> <!--Free-->$
Daniel@0 153 <td> <!--Undir-->D
Daniel@0 154 <td> <!--Inference-->JTree
Daniel@0 155 <td> <!--Comments-->Simulation by Dynamic discretisation
Daniel@0 156
Daniel@0 157 <tr>
Daniel@0 158 <td> <!--Name--> <a href=http://www.lumina.com > Analytica</a>
Daniel@0 159 <td> <!--Authors-->Lumina
Daniel@0 160 <td> <!--Src-->N
Daniel@0 161 <td> <!--API-->Y
Daniel@0 162 <td> <!--Exec-->W,M
Daniel@0 163 <td> <!--Cts-->G
Daniel@0 164 <td> <!--GUI-->Y
Daniel@0 165 <td> <!--Params-->N
Daniel@0 166 <td> <!--Struct-->N
Daniel@0 167 <td> <!--Utility-->Y
Daniel@0 168 <td> <!--Free-->$
Daniel@0 169 <td> <!--Undir-->D
Daniel@0 170 <td> <!--Inference-->sampling
Daniel@0 171 <td> <!--Comments-->spread sheet compatible
Daniel@0 172
Daniel@0 173 <tr>
Daniel@0 174 <td> <!--Name--> <a href=http://www.cs.duke.edu/~amink/software/banjo/> Banjo</a>
Daniel@0 175 <td> <!--Authors-->Hartemink
Daniel@0 176 <td> <!--Src-->Java
Daniel@0 177 <td> <!--API-->Y
Daniel@0 178 <td> <!--Exec-->W,U,M
Daniel@0 179 <td> <!--Cts-->Cd
Daniel@0 180 <td> <!--GUI-->N
Daniel@0 181 <td> <!--Params-->N
Daniel@0 182 <td> <!--Struct-->Y
Daniel@0 183 <td> <!--Utility-->N
Daniel@0 184 <td> <!--Free-->0
Daniel@0 185 <td> <!--Undir-->D
Daniel@0 186 <td> <!--Inference-->none
Daniel@0 187 <td> <!--Comments--> structure learning of
Daniel@0 188 static or dynamic networks of discrete variables
Daniel@0 189
Daniel@0 190
Daniel@0 191 <tr>
Daniel@0 192 <td><a href=http://www.cs.Helsinki.FI/research/fdk/bassist/> Bassist</a>
Daniel@0 193 <td> U. Helsinki
Daniel@0 194 <td> C++
Daniel@0 195 <td> Y
Daniel@0 196 <td> U
Daniel@0 197 <td> G
Daniel@0 198 <td> N
Daniel@0 199 <td> Y
Daniel@0 200 <td> N
Daniel@0 201 <td> N
Daniel@0 202 <td> 0
Daniel@0 203 <td> D
Daniel@0 204 <td> MH
Daniel@0 205 <td> Generates C++ for MCMC.
Daniel@0 206
Daniel@0 207 <tr>
Daniel@0 208 <td><a href=http://www.cs.Helsinki.FI/research/cosco/Projects/NONE/SW/ > Bayda</a>
Daniel@0 209 <td> U. Helsinki
Daniel@0 210 <td> Java
Daniel@0 211 <td> Y
Daniel@0 212 <td> WUM
Daniel@0 213 <td> G
Daniel@0 214 <td> Y
Daniel@0 215 <td> Y
Daniel@0 216 <td> N
Daniel@0 217 <td> N
Daniel@0 218 <td> 0
Daniel@0 219 <td> D
Daniel@0 220 <td> ?
Daniel@0 221 <td> Bayesian Naive Bayes classifier.
Daniel@0 222
Daniel@0 223 <tr>
Daniel@0 224 <td><a href=http://www.mbfys.kun.nl/snn/Research/bayesbuilder/ > BayesBuilder</a>
Daniel@0 225 <td> Nijman (U. Nijmegen)
Daniel@0 226 <td> N
Daniel@0 227 <td> N
Daniel@0 228 <td> W
Daniel@0 229 <td> D
Daniel@0 230 <td> Y
Daniel@0 231 <td> N
Daniel@0 232 <td> N
Daniel@0 233 <td> N
Daniel@0 234 <td> 0
Daniel@0 235 <td> D
Daniel@0 236 <td> ?
Daniel@0 237 <td> -
Daniel@0 238
Daniel@0 239 <tr>
Daniel@0 240 <td> <!--Name--> <a
Daniel@0 241 href="http://www.bayesia.com">BayesiaLab</a>
Daniel@0 242 <td> <!--Authors-->Bayesia Ltd
Daniel@0 243 <td> <!--Src-->N
Daniel@0 244 <td> <!--API-->N
Daniel@0 245 <td> <!--Exec-->-
Daniel@0 246 <td> <!--Cts-->Cd
Daniel@0 247 <td> <!--GUI-->Y
Daniel@0 248 <td> <!--Params-->Y
Daniel@0 249 <td> <!--Struct-->Y
Daniel@0 250 <td> <!--Utility-->N
Daniel@0 251 <td> <!--Free-->$
Daniel@0 252 <td> <!--Undir-->CG
Daniel@0 253 <td> <!--Inference-->jtree,G
Daniel@0 254 <td> <!--Comments-->
Daniel@0 255 <!--
Daniel@0 256 Structural learning (association discovery,
Daniel@0 257 classification), Bayesian clustering with analysis report generation,
Daniel@0 258 missing values
Daniel@0 259 processing, essential graphs, analysis toolbox, adaptive
Daniel@0 260 questionnaires, dynamic models
Daniel@0 261 -->
Daniel@0 262 Structural learning, adaptive
Daniel@0 263 questionnaires, dynamic models
Daniel@0 264
Daniel@0 265
Daniel@0 266
Daniel@0 267
Daniel@0 268 <tr>
Daniel@0 269
Daniel@0 270 <td><a href=http://www.bayesware.com>Bayesware Discoverer</a>
Daniel@0 271 <td> Bayesware
Daniel@0 272 <td> N
Daniel@0 273 <td> N
Daniel@0 274 <td> WUM
Daniel@0 275 <td> Cd
Daniel@0 276 <td> Y
Daniel@0 277 <td> Y
Daniel@0 278 <td> Y
Daniel@0 279 <td> N
Daniel@0 280 <td> $
Daniel@0 281 <td> D
Daniel@0 282 <td> ?
Daniel@0 283 <td> Uses bound and collapse for learning with missing data.
Daniel@0 284
Daniel@0 285 <tr>
Daniel@0 286 <td><a href=http://B-Course.hiit.fi/> B-course</a>
Daniel@0 287 <td> U. Helsinki
Daniel@0 288 <td> N
Daniel@0 289 <td> N
Daniel@0 290 <td> WUM
Daniel@0 291 <td> Cd
Daniel@0 292 <td> Y
Daniel@0 293 <td> Y
Daniel@0 294 <td> Y
Daniel@0 295 <td> N
Daniel@0 296 <td> 0
Daniel@0 297 <td> D
Daniel@0 298 <td> ?
Daniel@0 299 <td> Runs on their server: view results using a web browser.
Daniel@0 300
Daniel@0 301 <!--
Daniel@0 302 <tr>
Daniel@0 303 <td><a href="http://www.aist.go.jp/ETL/etl/suri/motomura/BN/bn-java.html">Bayonnet</a>
Daniel@0 304 <td> Motomura (ETL)
Daniel@0 305 <td> Java
Daniel@0 306 <td> Y
Daniel@0 307 <td> WUM
Daniel@0 308 <td> NN
Daniel@0 309 <td> Cx
Daniel@0 310 <td> Y
Daniel@0 311 <td> N
Daniel@0 312 <td> N
Daniel@0 313 <td> 0
Daniel@0 314 <td> D
Daniel@0 315 <td> ?
Daniel@0 316 <td> For learning, represents BN as a neural net.
Daniel@0 317 -->
Daniel@0 318
Daniel@0 319 <tr>
Daniel@0 320 <td><a href=http://www.cs.ualberta.ca/~jcheng/bnpc.htm > Belief net power constructor</a>
Daniel@0 321 <td> Cheng (U.Alberta)
Daniel@0 322 <td> N
Daniel@0 323 <td> W
Daniel@0 324 <td> W
Daniel@0 325 <td> D
Daniel@0 326 <td> Y
Daniel@0 327 <td> Y
Daniel@0 328 <td> CI
Daniel@0 329 <td> N
Daniel@0 330 <td> 0
Daniel@0 331 <td> D
Daniel@0 332 <td> ?
Daniel@0 333 <td> -
Daniel@0 334
Daniel@0 335 <tr>
Daniel@0 336 <td><a href=http://www.cs.berkeley.edu/~murphyk/Bayes/bnt.html > BNT</a>
Daniel@0 337 <td> Murphy (U.C.Berkeley)
Daniel@0 338 <td> Matlab/C
Daniel@0 339 <td> Y
Daniel@0 340 <td> WUM
Daniel@0 341 <td> G
Daniel@0 342 <td> N
Daniel@0 343 <td> Y
Daniel@0 344 <td> Y
Daniel@0 345 <td> Y
Daniel@0 346 <td> 0
Daniel@0 347 <td> D,U
Daniel@0 348 <td> Many
Daniel@0 349 <td> Also handles dynamic models, like HMMs and Kalman filters.
Daniel@0 350
Daniel@0 351
Daniel@0 352 <tr>
Daniel@0 353 <td> <!--Name--> <a href="http://bndev.sourceforge.net/">BNJ</a>
Daniel@0 354 <td> <!--Authors-->Hsu (Kansas)
Daniel@0 355 <td> <!--Src-->Java
Daniel@0 356 <td> <!--API-->-
Daniel@0 357 <td> <!--Exec-->-
Daniel@0 358 <td> <!--Cts-->D
Daniel@0 359 <td> <!--GUI-->Y
Daniel@0 360 <td> <!--Params-->N
Daniel@0 361 <td> <!--Struct-->Y
Daniel@0 362 <td> <!--Utility-->N
Daniel@0 363 <td> <!--Free-->0
Daniel@0 364 <td> <!--Undir-->D
Daniel@0 365 <td> <!--Inference-->jtree, IS
Daniel@0 366 <td> <!--Comments-->-
Daniel@0 367
Daniel@0 368 <!--
Daniel@0 369 <tr>
Daniel@0 370 <td><a href=http://94.parkview-court.net/project/ > BN Toolkit</a>
Daniel@0 371 <td> Gowans (Imperial)
Daniel@0 372 <td> Visual Basic
Daniel@0 373 <td> Y
Daniel@0 374 <td> W
Daniel@0 375 <td> D
Daniel@0 376 <td> Y
Daniel@0 377 <td> N
Daniel@0 378 <td> Y
Daniel@0 379 <td> N
Daniel@0 380 <td> 0
Daniel@0 381 <td> D
Daniel@0 382 <td> Polytree
Daniel@0 383 <td> Parser and GUI for the XML-BIF format.
Daniel@0 384 -->
Daniel@0 385
Daniel@0 386 <tr>
Daniel@0 387 <td><a href=http://www.ics.uci.edu/~irinar > BucketElim</a>
Daniel@0 388 <td> Rish (U.C.Irvine)
Daniel@0 389 <td> C++
Daniel@0 390 <td> Y
Daniel@0 391 <td> WU
Daniel@0 392 <td> D
Daniel@0 393 <td> N
Daniel@0 394 <td> N
Daniel@0 395 <td> N
Daniel@0 396 <td> N
Daniel@0 397 <td> 0
Daniel@0 398 <td> D
Daniel@0 399 <td> Varelim
Daniel@0 400 <td> -
Daniel@0 401
Daniel@0 402 <tr>
Daniel@0 403 <td><a href=http://www.mrc-bsu.cam.ac.uk/bugs > BUGS</a>
Daniel@0 404 <td> MRC/Imperial College
Daniel@0 405 <td> N
Daniel@0 406 <td> N
Daniel@0 407 <td> WU
Daniel@0 408 <td> Cs
Daniel@0 409 <td> W
Daniel@0 410 <td> Y
Daniel@0 411 <td> N
Daniel@0 412 <td> N
Daniel@0 413 <td> 0
Daniel@0 414 <td> D
Daniel@0 415 <td> Gibbs
Daniel@0 416 <td> -
Daniel@0 417
Daniel@0 418 <tr>
Daniel@0 419 <td><a href=http://www.data-digest.com > Business Navigator 5</a>
Daniel@0 420 <td> Data Digest Corp
Daniel@0 421 <td> N
Daniel@0 422 <td> N
Daniel@0 423 <td> W
Daniel@0 424 <td> Cd
Daniel@0 425 <td> Y
Daniel@0 426 <td> Y
Daniel@0 427 <td> Y
Daniel@0 428 <td> N
Daniel@0 429 <td> $
Daniel@0 430 <td> D
Daniel@0 431 <td> Jtree
Daniel@0 432 <td> -
Daniel@0 433
Daniel@0 434 <tr>
Daniel@0 435 <td><a href=http://www-pcd.stanford.edu/cousins/caben-1.1.tar.gz > CABeN</a>
Daniel@0 436 <td> Cousins et al. (Wash. U.)
Daniel@0 437 <td> C
Daniel@0 438 <td> Y
Daniel@0 439 <td> WU
Daniel@0 440 <td> D
Daniel@0 441 <td> N
Daniel@0 442 <td> N
Daniel@0 443 <td> N
Daniel@0 444 <td> N
Daniel@0 445 <td> 0
Daniel@0 446 <td> D
Daniel@0 447 <td> 5 Sampling methods
Daniel@0 448 <td> -
Daniel@0 449
Daniel@0 450 <tr>
Daniel@0 451 <td> <!--Name--> <a href=
Daniel@0 452 http://discover1.mc.vanderbilt.edu/discover/public/>Causal discoverer</a>
Daniel@0 453 <td> <!--Authors-->Vanderbilt
Daniel@0 454 <td> <!--Src-->N
Daniel@0 455 <td> <!--API-->N
Daniel@0 456 <td> <!--Exec-->W
Daniel@0 457 <td> <!--Cts-->-
Daniel@0 458 <td> <!--GUI-->-
Daniel@0 459 <td> <!--Params-->N
Daniel@0 460 <td> <!--Struct-->Y
Daniel@0 461 <td> <!--Utility-->N
Daniel@0 462 <td> <!--Free-->0
Daniel@0 463 <td> <!--Undir-->D
Daniel@0 464 <td> <!--Inference-->-
Daniel@0 465 <td> <!--Comments-->structure learning only
Daniel@0 466
Daniel@0 467
Daniel@0 468 <tr>
Daniel@0 469 <td><a href=http://www.math.auc.dk/~jhb/CoCo/information.html > CoCo+Xlisp</a>
Daniel@0 470 <td> Badsberg (U. Aalborg)
Daniel@0 471 <td> C/lisp
Daniel@0 472 <td> Y
Daniel@0 473 <td> U
Daniel@0 474 <td> D
Daniel@0 475 <td> Y
Daniel@0 476 <td> Y
Daniel@0 477 <td> CI
Daniel@0 478 <td> N
Daniel@0 479 <td> 0
Daniel@0 480 <td> U
Daniel@0 481 <td> Jtree
Daniel@0 482 <td> Designed for contingency tables.
Daniel@0 483
Daniel@0 484 <tr>
Daniel@0 485 <td><a href=http://www.cs.ubc.ca/labs/lci/CIspace/ > CIspace</a>
Daniel@0 486 <td> Poole et al. (UBC)
Daniel@0 487 <td> Java
Daniel@0 488 <td> N
Daniel@0 489 <td> WU
Daniel@0 490 <td> D
Daniel@0 491 <td> Y
Daniel@0 492 <td> N
Daniel@0 493 <td> N
Daniel@0 494 <td> N
Daniel@0 495 <td> 0
Daniel@0 496 <td> D
Daniel@0 497 <td> Varelim
Daniel@0 498 <td> -
Daniel@0 499
Daniel@0 500 <tr>
Daniel@0 501 <td> <!--Name--> <a href="http://www.robots.ox.ac.uk/~parg/software.html">DBNbox</a>
Daniel@0 502 <td> <!--Authors-->Roberts et al
Daniel@0 503 <td> <!--Src-->Matlab
Daniel@0 504 <td> <!--API-->-
Daniel@0 505 <td> <!--Exec-->-
Daniel@0 506 <td> <!--Cts-->Y
Daniel@0 507 <td> <!--GUI-->N
Daniel@0 508 <td> <!--Params-->Y
Daniel@0 509 <td> <!--Struct-->N
Daniel@0 510 <td> <!--Utility-->N
Daniel@0 511
Daniel@0 512 <td> <!--Free-->Y
Daniel@0 513 <td> <!--Undir-->D
Daniel@0 514 <td> <!--Inference-->Various
Daniel@0 515 <td> <!--Comments-->DBNs
Daniel@0 516
Daniel@0 517 <tr>
Daniel@0 518 <td> <!--Name--><a href=http://www.math.auc.dk/novo/deal>Deal</a>
Daniel@0 519 <td> <!--Authors-->Bottcher et al
Daniel@0 520 <td> <!--Src-->R
Daniel@0 521 <td> <!--API-->-
Daniel@0 522 <td> <!--Exec-->-
Daniel@0 523 <td> <!--Cts-->G
Daniel@0 524 <td> <!--GUI-->Y
Daniel@0 525 <td> <!--Params-->Y
Daniel@0 526 <td> <!--Struct-->Y
Daniel@0 527 <td> <!--Utility-->N
Daniel@0 528 <td> <!--Free-->0
Daniel@0 529 <td> <!--Undir-->D
Daniel@0 530 <td> <!--Inference-->None
Daniel@0 531 <td> <!--Comments-->
Daniel@0 532 Structure learning.
Daniel@0 533
Daniel@0 534 <tr>
Daniel@0 535 <td><a href=http://www.deriveit.com >DeriveIt</a>
Daniel@0 536 <td> <!--Authors-->DeriveIt LLC
Daniel@0 537 <td> <!--Src-->N
Daniel@0 538 <td> <!--API-->-
Daniel@0 539 <td> <!--Exec-->-
Daniel@0 540 <td> <!--Cts-->?
Daniel@0 541 <td> <!--GUI-->?
Daniel@0 542 <td> <!--Params-->Y
Daniel@0 543 <td> <!--Struct-->Y
Daniel@0 544 <td> <!--Utility-->?
Daniel@0 545 <td> <!--Free-->$
Daniel@0 546 <td> <!--Undir-->D
Daniel@0 547 <td> <!--Inference-->Jtree
Daniel@0 548 <td> <!--Comments-->
Daniel@0 549 Exploits local structure in CPDs.
Daniel@0 550
Daniel@0 551
Daniel@0 552 <tr>
Daniel@0 553 <td><a href=http://www.noeticsystems.com>Ergo</>
Daniel@0 554 <td> <!--Authors-->Noetic systems
Daniel@0 555 <td> <!--Src-->N
Daniel@0 556 <td> <!--API-->Y
Daniel@0 557 <td> <!--Exec-->W,M
Daniel@0 558 <td> <!--Cts-->D
Daniel@0 559 <td> <!--GUI-->Y
Daniel@0 560 <td> <!--Params-->N
Daniel@0 561 <td> <!--Struct-->N
Daniel@0 562 <td> <!--Utility-->N
Daniel@0 563 <td> <!--Free-->$
Daniel@0 564 <td> <!--Undir-->D
Daniel@0 565 <td> <!--Inference-->jtree
Daniel@0 566 <td> <!--Comments-->-
Daniel@0 567
Daniel@0 568 <!--
Daniel@0 569 <tr>
Daniel@0 570 <td><a href=http://www.ens-lyon.fr/~jnarboux/Floue/index.html>FLoUE/BIFtoN</a>
Daniel@0 571 <td> ENS Lyon
Daniel@0 572 <td> Java
Daniel@0 573 <td> Y
Daniel@0 574 <td> WUM
Daniel@0 575 <td> D
Daniel@0 576 <td> N
Daniel@0 577 <td> N
Daniel@0 578 <td> N
Daniel@0 579 <td> N
Daniel@0 580 <td> 0
Daniel@0 581 <td> D
Daniel@0 582 <td> Jtree
Daniel@0 583 <td> -
Daniel@0 584 -->
Daniel@0 585
Daniel@0 586 <tr>
Daniel@0 587 <td><a href=http://www.staff.ncl.ac.uk/d.j.wilkinson/software/gdagsim/ > GDAGsim</a>
Daniel@0 588 <td> Wilkinson (U. Newcastle)
Daniel@0 589 <td> C
Daniel@0 590 <td> Y
Daniel@0 591 <td> WUM
Daniel@0 592 <td> G
Daniel@0 593 <td> N
Daniel@0 594 <td> N
Daniel@0 595 <td> N
Daniel@0 596 <td> N
Daniel@0 597 <td> 0
Daniel@0 598 <td> D
Daniel@0 599 <td> Exact
Daniel@0 600 <td> Bayesian analysis of large linear Gaussian directed models.
Daniel@0 601
Daniel@0 602
Daniel@0 603 <tr>
Daniel@0 604 <td><a href=http://www2.sis.pitt.edu/~genie > Genie</a>
Daniel@0 605 <td> U. Pittsburgh
Daniel@0 606 <td> N
Daniel@0 607 <td> WU
Daniel@0 608 <td> WU
Daniel@0 609 <td> D
Daniel@0 610 <td> W
Daniel@0 611 <td> N
Daniel@0 612 <td> N
Daniel@0 613 <td> Y
Daniel@0 614 <td> 0
Daniel@0 615 <td> D
Daniel@0 616 <td> Jtree
Daniel@0 617 <td> -
Daniel@0 618
Daniel@0 619 <tr>
Daniel@0 620 <td><a href=http://www.math.ntnu.no/~hrue/GMRFsim/ > GMRFsim</a>
Daniel@0 621 <td> Rue (U. Trondheim)
Daniel@0 622 <td> C
Daniel@0 623 <td> Y
Daniel@0 624 <td> WUM
Daniel@0 625 <td> G
Daniel@0 626 <td> N
Daniel@0 627 <td> N
Daniel@0 628 <td> N
Daniel@0 629 <td> N
Daniel@0 630 <td> 0
Daniel@0 631 <td> U
Daniel@0 632 <td> MCMC
Daniel@0 633 <td> Bayesian analysis of large linear Gaussian undirected models.
Daniel@0 634
Daniel@0 635
Daniel@0 636 <tr>
Daniel@0 637 <td> <!--Name--> <a href=http://ssli.ee.washington.edu/~bilmes/gmtk/>GMTk</a>
Daniel@0 638 <td> <!--Authors-->Bilmes (UW), Zweig (IBM)
Daniel@0 639 <td> <!--Src-->N
Daniel@0 640 <td> <!--API-->Y
Daniel@0 641 <td> <!--Exec-->U
Daniel@0 642 <td> <!--Cts-->D
Daniel@0 643 <td> <!--GUI-->N
Daniel@0 644 <td> <!--Params-->Y
Daniel@0 645 <td> <!--Struct-->Y
Daniel@0 646 <td> <!--Utility-->N
Daniel@0 647 <td> <!--Free-->0
Daniel@0 648 <td> <!--Undir-->D
Daniel@0 649 <td> <!--Inference-->Jtree
Daniel@0 650 <td> <!--Comments-->
Daniel@0 651 Designed for speech recognition.
Daniel@0 652
Daniel@0 653 <tr>
Daniel@0 654 <td> <!--Name--> <a href=http://www.r-project.org/gR>gR</a>
Daniel@0 655 <td> <!--Authors-->Lauritzen et al.
Daniel@0 656 <td> <!--Src-->R
Daniel@0 657 <td> <!--API-->-
Daniel@0 658 <td> <!--Exec-->-
Daniel@0 659 <td> <!--Cts-->-
Daniel@0 660 <td> <!--GUI-->-
Daniel@0 661 <td> <!--Params-->-
Daniel@0 662 <td> <!--Struct-->-
Daniel@0 663 <td> <!--Utility-->-
Daniel@0 664 <td> <!--Free-->0
Daniel@0 665 <td> <!--Undir-->-
Daniel@0 666 <td> <!--Inference-->-
Daniel@0 667 <td> <!--Comments-->Currently vaporware
Daniel@0 668
Daniel@0 669
Daniel@0 670 <tr>
Daniel@0 671 <td> <!--Name--> <a href=http://www.stats.bris.ac.uk/~peter/Grappa/>Grappa</a>
Daniel@0 672 <td> <!--Authors-->Green (Bristol)
Daniel@0 673 <td> <!--Src-->R
Daniel@0 674 <td> <!--API-->-
Daniel@0 675 <td> <!--Exec-->-
Daniel@0 676 <td> <!--Cts-->D
Daniel@0 677 <td> <!--GUI-->N
Daniel@0 678 <td> <!--Params-->N)
Daniel@0 679 <td> <!--Struct-->N
Daniel@0 680 <td> <!--Utility-->N
Daniel@0 681 <td> <!--Free-->0
Daniel@0 682 <td> <!--Undir-->D
Daniel@0 683 <td> <!--Inference-->Jtree
Daniel@0 684 <td> <!--Comments-->-
Daniel@0 685
Daniel@0 686
Daniel@0 687 <tr>
Daniel@0 688 <td><a href=http://www.hugin.com > Hugin Expert</a>
Daniel@0 689 <td> Hugin
Daniel@0 690 <td> N
Daniel@0 691 <td> Y
Daniel@0 692 <td> W
Daniel@0 693 <td> G
Daniel@0 694 <td> W
Daniel@0 695 <td> Y
Daniel@0 696 <td> CI
Daniel@0 697 <td> Y
Daniel@0 698 <td> $
Daniel@0 699 <td> CG
Daniel@0 700 <td> Jtree
Daniel@0 701 <td> -
Daniel@0 702
Daniel@0 703
Daniel@0 704 <tr>
Daniel@0 705 <td> <!--Name--> <a href=http://www.warnes.net/GregsSoftwareLinks/index_html?Tab=MCMC>Hydra</a>
Daniel@0 706 <td> <!--Authors-->Warnes (U.Wash.)
Daniel@0 707 <td> <!--Src-->Java
Daniel@0 708 <td> <!--API-->-
Daniel@0 709 <td> <!--Exec-->-
Daniel@0 710 <td> <!--Cts-->Cs
Daniel@0 711 <td> <!--GUI-->Y
Daniel@0 712 <td> <!--Params-->Y
Daniel@0 713 <td> <!--Struct-->N
Daniel@0 714 <td> <!--Utility-->N
Daniel@0 715 <td> <!--Free-->0
Daniel@0 716 <td> <!--Undir-->U,D
Daniel@0 717 <td> <!--Inference-->MCMC
Daniel@0 718 <td> <!--Comments-->-
Daniel@0 719
Daniel@0 720
Daniel@0 721 <tr>
Daniel@0 722 <!-- http://www.rpal.rockwell.com/ideal.html -->
Daniel@0 723 <td><a href=http://yoda.cis.temple.edu:8080/ideal>Ideal</a>
Daniel@0 724 <td> Rockwell
Daniel@0 725 <td> Lisp
Daniel@0 726 <td> Y
Daniel@0 727 <td> WUM
Daniel@0 728 <td> D
Daniel@0 729 <td> Y
Daniel@0 730 <td> N
Daniel@0 731 <td> N
Daniel@0 732 <td> Y
Daniel@0 733 <td> 0
Daniel@0 734 <td> D
Daniel@0 735 <td> Jtree
Daniel@0 736 <td> GUI requires Allegro Lisp.
Daniel@0 737
Daniel@0 738 <tr>
Daniel@0 739 <td><a href=http://www.cs.cmu.edu/~javabayes/Home/ > Java Bayes</a>
Daniel@0 740 <td> Cozman (CMU)
Daniel@0 741 <td> Java
Daniel@0 742 <td> Y
Daniel@0 743 <td> WUM
Daniel@0 744 <td> D
Daniel@0 745 <td> Y
Daniel@0 746 <td> N
Daniel@0 747 <td> N
Daniel@0 748 <td> Y
Daniel@0 749 <td> 0
Daniel@0 750 <td> D
Daniel@0 751 <td> Varelim, jtree
Daniel@0 752 <td> -
Daniel@0 753
Daniel@0 754
Daniel@0 755 <tr>
Daniel@0 756 <td> <!--Name--><a href="http://www.codeas.com/kbaseai.php" >KBaseAI</a>
Daniel@0 757 <td> <!--Authors-->Codeas
Daniel@0 758 <td> <!--Src-->N
Daniel@0 759 <td> <!--API-->Y
Daniel@0 760 <td> <!--Exec-->W,U
Daniel@0 761 <td> <!--Cts-->D
Daniel@0 762 <td> <!--GUI-->N
Daniel@0 763 <td> <!--Params-->N
Daniel@0 764 <td> <!--Struct-->N
Daniel@0 765 <td> <!--Utility-->N
Daniel@0 766 <td> <!--Free-->$
Daniel@0 767 <td> <!--Undir-->D
Daniel@0 768 <td> <!--Inference-->varelim
Daniel@0 769 <td> <!--Comments-->client/server architecture, multiple users, access
Daniel@0 770 control, query language
Daniel@0 771
Daniel@0 772
Daniel@0 773 <tr>
Daniel@0 774 <td> <!--Name--> <a href=http://www.cs.huji.ac.il/labs/compbio/LibB>LibB</a>
Daniel@0 775 <td> <!--Authors-->Friedman (Hebrew U)
Daniel@0 776 <td> <!--Src-->N
Daniel@0 777 <td> <!--API-->Y
Daniel@0 778 <td> <!--Exec-->W
Daniel@0 779 <td> <!--Cts-->D
Daniel@0 780 <td> <!--GUI-->N
Daniel@0 781 <td> <!--Params-->Y
Daniel@0 782 <td> <!--Struct-->Y
Daniel@0 783 <td> <!--Utility-->N
Daniel@0 784 <td> <!--Free-->0
Daniel@0 785 <td> <!--Undir-->D
Daniel@0 786 <td> <!--Inference-->none
Daniel@0 787 <td> <!--Comments-->
Daniel@0 788 Structure learning
Daniel@0 789
Daniel@0 790 <tr>
Daniel@0 791 <td><a href=http://www.hypergraph.dk/ > MIM</a>
Daniel@0 792 <td> HyperGraph Software
Daniel@0 793 <td> N
Daniel@0 794 <td> N
Daniel@0 795 <td> W
Daniel@0 796 <td> G
Daniel@0 797 <td> Y
Daniel@0 798 <td> Y
Daniel@0 799 <td> Y
Daniel@0 800 <td> N
Daniel@0 801 <td> $
Daniel@0 802 <td> CG
Daniel@0 803 <td> Jtree
Daniel@0 804 <td> Up to 52 variables.
Daniel@0 805
Daniel@0 806 <tr>
Daniel@0 807 <td><a href=http://research.microsoft.com/adapt/MSBNx/ > MSBNx</a>
Daniel@0 808 <td> Microsoft
Daniel@0 809 <td> N
Daniel@0 810 <td> Y
Daniel@0 811 <td> W
Daniel@0 812 <td> D
Daniel@0 813 <td> W
Daniel@0 814 <td> N
Daniel@0 815 <td> N
Daniel@0 816 <td> Y
Daniel@0 817 <td> 0
Daniel@0 818 <td> D
Daniel@0 819 <td> Jtree
Daniel@0 820 <td> -
Daniel@0 821
Daniel@0 822 <tr>
Daniel@0 823 <td><a href=http://www.norsys.com > Netica</a>
Daniel@0 824 <td> Norsys
Daniel@0 825 <td> N
Daniel@0 826 <td> WUM
Daniel@0 827 <td> W
Daniel@0 828 <td> G
Daniel@0 829 <td> W
Daniel@0 830 <td> Y
Daniel@0 831 <td> N
Daniel@0 832 <td> Y
Daniel@0 833 <td> $
Daniel@0 834 <td> D
Daniel@0 835 <td> jtree
Daniel@0 836 <td> -
Daniel@0 837
Daniel@0 838 <tr>
Daniel@0 839 <td> <!--Name--> <a href="http://www.autonlab.org/autonweb/showSoftware/149/">Optimal
Daniel@0 840 Reinsertion</a>
Daniel@0 841 <td> <!--Authors-->Moore, Wong (CMU)
Daniel@0 842 <td> <!--Src-->N
Daniel@0 843 <td> <!--API-->N
Daniel@0 844 <td> <!--Exec-->W,U
Daniel@0 845 <td> <!--Cts-->D
Daniel@0 846 <td> <!--GUI-->N
Daniel@0 847 <td> <!--Params-->Y
Daniel@0 848 <td> <!--Struct-->Y
Daniel@0 849 <td> <!--Utility-->N
Daniel@0 850 <td> <!--Free-->0
Daniel@0 851 <td> <!--Undir-->D
Daniel@0 852 <td> <!--Inference-->none
Daniel@0 853 <td> <!--Comments-->structure learning
Daniel@0 854
Daniel@0 855
Daniel@0 856 <tr>
Daniel@0 857 <td> <!--Name--> <a href="http://people.bu.edu/vladimir/pmt/index.html">PMT</a>
Daniel@0 858 <td> <!--Authors-->Pavlovic (BU)
Daniel@0 859 <td> <!--Src-->Matlab/C
Daniel@0 860 <td> <!--API-->-
Daniel@0 861 <td> <!--Exec-->-
Daniel@0 862 <td> <!--Cts-->D
Daniel@0 863 <td> <!--GUI-->N
Daniel@0 864 <td> <!--Params-->Y
Daniel@0 865 <td> <!--Struct-->N
Daniel@0 866 <td> <!--Utility-->N
Daniel@0 867 <td> <!--Free-->0
Daniel@0 868 <td> <!--Undir-->D
Daniel@0 869 <td> <!--Inference-->special purpose
Daniel@0 870 <td> <!--Comments-->-
Daniel@0 871
Daniel@0 872
Daniel@0 873
Daniel@0 874 <tr>
Daniel@0 875 <td> <!--Name--> <a href=http://www.intel.com/research/mrl/pnl/>PNL</a>
Daniel@0 876 <td> <!--Authors-->Eruhimov (Intel)
Daniel@0 877 <td> <!--Src-->C++
Daniel@0 878 <td> <!--API-->-
Daniel@0 879 <td> <!--Exec-->-
Daniel@0 880 <td> <!--Cts-->D
Daniel@0 881 <td> <!--GUI-->N
Daniel@0 882 <td> <!--Params-->Y
Daniel@0 883 <td> <!--Struct-->Y
Daniel@0 884 <td> <!--Utility-->N
Daniel@0 885 <td> <!--Free-->0
Daniel@0 886 <td> <!--Undir-->U,D
Daniel@0 887 <td> <!--Inference-->Jtree
Daniel@0 888 <td> <!--Comments-->
Daniel@0 889 A C++ version of BNT; will be released 12/03.
Daniel@0 890
Daniel@0 891
Daniel@0 892 <tr>
Daniel@0 893 <td><a href=http://iridia.ulb.ac.be/pulcinella/Welcome.html > Pulcinella</a>
Daniel@0 894 <td> IRIDIA
Daniel@0 895 <td> Lisp
Daniel@0 896 <td> Y
Daniel@0 897 <td> WUM
Daniel@0 898 <td> D
Daniel@0 899 <td> Y
Daniel@0 900 <td> N
Daniel@0 901 <td> N
Daniel@0 902 <td> N
Daniel@0 903 <td> 0
Daniel@0 904 <td> D
Daniel@0 905 <td> ?
Daniel@0 906 <td> Uses valuation systems for non-probabilistic calculi.
Daniel@0 907
Daniel@0 908 <tr>
Daniel@0 909 <!-- http://civil.colorado.edu/~dodier/sonero-mirror/index.html -->
Daniel@0 910 <td><a href=http://sourceforge.net/projects/riso>RISO</a>
Daniel@0 911 <td> Dodier (U.Colorado)
Daniel@0 912 <td> Java
Daniel@0 913 <td> Y
Daniel@0 914 <td> WUM
Daniel@0 915 <td> G
Daniel@0 916 <td> Y
Daniel@0 917 <td> N
Daniel@0 918 <td> N
Daniel@0 919 <td> N
Daniel@0 920 <td> 0
Daniel@0 921 <td> D
Daniel@0 922 <td> Polytree
Daniel@0 923 <td> Distributed implementation.
Daniel@0 924
Daniel@0 925
Daniel@0 926
Daniel@0 927 <tr>
Daniel@0 928 <td> <!--Name--> <a href=http://reasoning.cs.ucla.edu/samiam/> Sam Iam</a>
Daniel@0 929 <td> <!--Authors-->Darwiche (UCLA)
Daniel@0 930 <td> <!--Src-->N
Daniel@0 931 <td> <!--API-->N ?
Daniel@0 932 <td> <!--Exec-->WU ? (Java executable)
Daniel@0 933 <td> <!--Cts-->G ?
Daniel@0 934 <td> <!--GUI-->Y
Daniel@0 935 <td> <!--Params-->Y
Daniel@0 936 <td> <!--Struct-->N ?
Daniel@0 937 <td> <!--Utility-->Y
Daniel@0 938 <td> <!--Free-->0
Daniel@0 939 <td> <!--Undir-->D
Daniel@0 940 <td> <!--Inference-->Recursive conditioning
Daniel@0 941 <td> <!--Comments-->Also does sensitivity Analysis
Daniel@0 942
Daniel@0 943
Daniel@0 944 <tr>
Daniel@0 945 <td><a href=http://www.phil.cmu.edu/tetrad/>Tetrad</a>
Daniel@0 946 <td> CMU
Daniel@0 947 <td> N
Daniel@0 948 <td> N
Daniel@0 949 <td> WU
Daniel@0 950 <td> G
Daniel@0 951 <td> N
Daniel@0 952 <td> Y
Daniel@0 953 <td> CI
Daniel@0 954 <td> N
Daniel@0 955 <td> 0
Daniel@0 956 <td> U,D
Daniel@0 957 <td> None
Daniel@0 958 <td> -
Daniel@0 959
Daniel@0 960
Daniel@0 961 <tr>
Daniel@0 962 <td> <!--Name--> <a href="https://sourceforge.net/projects/unbbayes/">UnBBayes</a>
Daniel@0 963 <td> <!--Authors-->?
Daniel@0 964 <td> <!--Src-->Java
Daniel@0 965 <td> <!--API-->-
Daniel@0 966 <td> <!--Exec-->-
Daniel@0 967 <td> <!--Cts-->D
Daniel@0 968 <td> <!--GUI-->Y
Daniel@0 969 <td> <!--Params-->N
Daniel@0 970 <td> <!--Struct-->Y
Daniel@0 971 <td> <!--Utility-->N
Daniel@0 972 <td> <!--Free-->0
Daniel@0 973 <td> <!--Undir-->D
Daniel@0 974 <td> <!--Inference-->jtree
Daniel@0 975 <td> <!--Comments-->K2 for struct learning
Daniel@0 976
Daniel@0 977
Daniel@0 978 <tr>
Daniel@0 979 <td><a href=http://www.inference.phy.cam.ac.uk/jmw39/>Vibes</a>
Daniel@0 980 <td> Winn & Bishop (U. Cambridge)
Daniel@0 981 <td> Java
Daniel@0 982 <td> Y
Daniel@0 983 <td> WU
Daniel@0 984 <td> Cx
Daniel@0 985 <td> Y
Daniel@0 986 <td> Y
Daniel@0 987 <td> N
Daniel@0 988 <td> N
Daniel@0 989 <td> 0
Daniel@0 990 <td> D
Daniel@0 991 <td> Variational
Daniel@0 992 <td>
Daniel@0 993 Not yet available.
Daniel@0 994
Daniel@0 995
Daniel@0 996 <tr>
Daniel@0 997 <td><a href=http://snowhite.cis.uoguelph.ca/faculty_info/yxiang/ww3/> Web Weaver</a>
Daniel@0 998 <td> Xiang (U.Regina)
Daniel@0 999 <td> Java
Daniel@0 1000 <td> Y
Daniel@0 1001 <td> WUM
Daniel@0 1002 <td> D
Daniel@0 1003 <td> Y
Daniel@0 1004 <td> N
Daniel@0 1005 <td> N
Daniel@0 1006 <td> Y
Daniel@0 1007 <td> 0
Daniel@0 1008 <td> D
Daniel@0 1009 <td> ?
Daniel@0 1010 <td> -
Daniel@0 1011
Daniel@0 1012 <tr>
Daniel@0 1013 <td><a href=http://research.microsoft.com/~dmax/WinMine/tooldoc.htm > WinMine</a>
Daniel@0 1014 <td> Microsoft
Daniel@0 1015 <td> N
Daniel@0 1016 <td> N
Daniel@0 1017 <td> W
Daniel@0 1018 <td> Cx
Daniel@0 1019 <td> Y
Daniel@0 1020 <td> Y
Daniel@0 1021 <td> Y
Daniel@0 1022 <td> N
Daniel@0 1023 <td> 0
Daniel@0 1024 <td> U,D
Daniel@0 1025 <td> None
Daniel@0 1026 <td> Learns BN or dependency net structure.
Daniel@0 1027
Daniel@0 1028 <tr>
Daniel@0 1029 <td><a href=http://www.staff.city.ac.uk/~rgc/webpages/xbpage.html > XBAIES 2.0</a>
Daniel@0 1030 <td> Cowell (City U.)
Daniel@0 1031 <td> N
Daniel@0 1032 <td> N
Daniel@0 1033 <td> W
Daniel@0 1034 <td> G
Daniel@0 1035 <td> Y
Daniel@0 1036 <td> Y
Daniel@0 1037 <td> N
Daniel@0 1038 <td> Y
Daniel@0 1039 <td> 0
Daniel@0 1040 <td> CG
Daniel@0 1041 <td> Jtree
Daniel@0 1042 <td> -
Daniel@0 1043
Daniel@0 1044 <tr>
Daniel@0 1045
Daniel@0 1046 </table>
Daniel@0 1047
Daniel@0 1048
Daniel@0 1049 <p>
Daniel@0 1050 <h2>Other sites related to (software for) graphical models</h2>
Daniel@0 1051 <ul>
Daniel@0 1052
Daniel@0 1053
Daniel@0 1054 <li>
Daniel@0 1055 <a
Daniel@0 1056 href="http://directory.google.com/Top/Computers/Artificial_Intelligence/Belief_Networks/Software/">
Daniel@0 1057 Google's list</a> of Bayes net software.
Daniel@0 1058
Daniel@0 1059 <!--
Daniel@0 1060 <li> <a href="http://www.sis.pitt.edu/~dsl/da-software.html">
Daniel@0 1061 Decision analysis programs</a>, list maintained by
Daniel@0 1062 Marek Druzdzel.
Daniel@0 1063 -->
Daniel@0 1064
Daniel@0 1065 <li> <a href="http://www.cs.cmu.edu/~lorens/papers/mscthesis.html">
Daniel@0 1066 Comparison of decision analysis software packages</a> by
Daniel@0 1067 Håkan L. Younes. The emphasis is on real-time decision making.
Daniel@0 1068
Daniel@0 1069 <li> <a href="http://bayes.stat.washington.edu/almond/belief.html">
Daniel@0 1070 Older belief net programs</a> (c 1996), a list created (but no longer maintained)
Daniel@0 1071 by Russ Almond.
Daniel@0 1072
Daniel@0 1073 <li>
Daniel@0 1074 <a
Daniel@0 1075 href="http://www.cs.huji.ac.il/labs/compbio/Repository">
Daniel@0 1076 Repository of Bayes nets</a>.
Daniel@0 1077
Daniel@0 1078 </document>