Projects that are tagged with graphical models.


Logo JMLR Darwin 1.7

by sgould - January 10, 2014, 01:33:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 26216 views, 5593 downloads, 2 subscriptions

About: A platform-independent C++ framework for machine learning, graphical models, and computer vision research and development.

Changes:

Version 1.7:

  • Log file now shows the command line
  • Utility application added for viewing multi-class segmentation legend
  • Added LBP filter response features to multi-class segmentation model
  • Added drwnColourHistogram class
  • Added k-means segmentation method for creating superpixels
  • Application visualizeSuperpixels and mex routines for loading and saving superpixels
  • Improved mex parsing of Matlab objects to support more matrix types
  • Bug fix in drwnOptimizer (thanks to Subarna Tripathi)
  • Updated copyright notice to 2007-2014
  • Other bug fixes and performance improvements

Version 1.6.1:

  • Maximum size of drwnShowDebuggingImage can be set from command line
  • Windows MSVC projects updated to link against OpenCV 2.4.6
  • Fixes for gcc 4.7 (thanks to Sarma Tangirala)
  • Bug fixes and performance improvements

Version 1.6:

  • Changed vision code from OpenCV 1.x C API to OpenCV 2.x C++ API
  • Added drwnHistogram class by Jason Corso
  • Added separate EPSG, EPSF and EPSX parameters to drwnOptimizer and changed signature of solve function
  • Added "-outUnary" option to inferPixelLabels for writing out unary potentials
  • Improved Matlab mex interfaces
  • Added drwnFeatureTransformFactory and improved drwnFactory class
  • Added drwnLinearTransform class
  • Bug fixes and performance improvements

About: The CTBN-RLE is a C++ package of executables and libraries for inference and learning algorithms for continuous time Bayesian networks (CTBNs).

Changes:

compilation problems fixed


Logo factorie 1.0.0-M7

by apassos - October 7, 2013, 23:10:37 CET [ Project Homepage BibTeX Download ] 1221 views, 224 downloads, 1 subscription

About: [FACTORIE](http://factorie.cs.umass.edu) is a toolkit for deployable probabilistic modeling, implemented as a software library in [Scala](http://scala-lang.org). It provides its users with a succinct language for creating [factor graphs](http://en.wikipedia.org/wiki/Factor_graph), estimating parameters and performing inference. It also has implementations of many machine learning tools and a full NLP pipeline.

Changes:

Initial Announcement on mloss.org.


Logo JProGraM 13.2

by ninofreno - February 13, 2013, 20:29:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10684 views, 2224 downloads, 1 subscription

About: JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random graphs/fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

Changes:

JProGraM 13.2 -- CHANGE LOG

Release date: February 13, 2012

New features: -- Support for Fiedler random graphs/random field models for large-scale networks (ninofreno.graph.fiedler package); -- Various bugfixes and enhancements (especially in the ninofreno.graph and ninofreno.math package).


Logo JMLR libDAI 0.3.1

by jorism - September 17, 2012, 14:17:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 33308 views, 6237 downloads, 2 subscriptions

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About: libDAI provides free & open source implementations of various (approximate) inference methods for graphical models with discrete variables, including Bayesian networks and Markov Random Fields.

Changes:

Release 0.3.1 fixes various bugs. The issues on 64-bit Windows platforms have been fixed and libDAI now offers full 64-bit support on all supported platforms (Linux, Mac OSX, Windows).


Logo OpenGM 2 2.0.2 beta

by opengm - June 1, 2012, 14:33:53 CET [ Project Homepage BibTeX Download ] 2283 views, 505 downloads, 1 subscription

About: A C++ Library for Discrete Graphical Models

Changes:

Initial Announcement on mloss.org.


Logo Graphical Models and Conditional Random Fields Toolbox 2

by jdomke - January 5, 2012, 15:38:20 CET [ Project Homepage BibTeX Download ] 2153 views, 509 downloads, 1 subscription

About: This is a Matlab/C++ "toolbox" of code for learning and inference with graphical models. It is focused on parameter learning using marginalization in the high-treewidth setting.

Changes:

Initial Announcement on mloss.org.


About: OpenGM is a free C++ template library, a command line tool and a set of MATLAB functions for optimization in higher order graphical models. Graphical models of any order and structure can be built either in C++ or in MATLAB, using simple and intuitive commands. These models can be stored in HDF5 files and subjected to state-of-the-art optimization algorithms via the OpenGM command line optimizer. All library functions can also be called directly from C++ code. OpenGM realizes the Inference Algorithm Interface (IAI), a concept that makes it easy for programmers to use their own algorithms and factor classes with OpenGM.

Changes:

Initial Announcement on mloss.org.


Logo JMLR FastInf 1.0

by arielj - June 4, 2010, 14:04:37 CET [ Project Homepage BibTeX Download ] 7825 views, 2612 downloads, 1 subscription

About: The library is focused on implementation of propagation based approximate inference methods. Also implemented are a clique tree based exact inference, Gibbs sampling, and the mean field algorithm.

Changes:

Initial Announcement on mloss.org.


Logo Latent Topic Models for Hypertext 1.0

by amitg - September 2, 2009, 15:40:42 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3760 views, 772 downloads, 1 subscription

About: Source code for EM approximate learning in the Latent Topic Hypertext Model.

Changes:

Initial Announcement on mloss.org.


About: The package estimates the matrix of partial correlations based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression.

Changes:

Initial Announcement on mloss.org.


Logo Open HTMM 1.0

by amitg - December 24, 2008, 08:05:36 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4276 views, 1055 downloads, 1 subscription

About: The Hidden Topic Markov Model

Changes:

Initial Announcement on mloss.org.


Logo Alchemy 0.33

by marcs - December 16, 2008, 17:53:07 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5070 views, 1236 downloads, 1 subscription

About: Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to [...]

Changes:

Initial Announcement on mloss.org.


Logo Nested Effects Models 2.4.0

by florian - July 8, 2008, 00:05:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5103 views, 1318 downloads, 1 subscription

About: Nested Effects Models (NEMs) are a class of directed graphical models originally introduced to analyze the effects of gene perturbation screens with high-dimensional phenotypes. In contrast to other [...]

Changes:

Initial Announcement on mloss.org.


Logo MinorThird 20080414

by frank - June 9, 2008, 09:08:30 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6097 views, 1772 downloads, 1 subscription

About: MinorThird is a collection of Java classes for storing text, annotating text, and learning to extract entities and categorize text. It was written primarily by William W. Cohen, a professor at [...]

Changes:

Initial Announcement on mloss.org.