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Logo r-cran-C50 0.1.0-24

by r-cran-robot - March 8, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 9326 views, 2088 downloads, 0 subscriptions

About: C5.0 Decision Trees and Rule-Based Models


Fetched by r-cran-robot on 2017-04-01 00:00:03.975157

Logo LIBOCAS 0.93

by vf - June 20, 2010, 12:22:05 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 13607 views, 2081 downloads, 2 subscriptions

About: The library implements Optimized Cutting Plane Algorithm (OCAS) for efficient training of linear SVM classifiers from large-scale data.


Implemented COFFIN framework which allows efficient training of invariant image classifiers via virtual examples.

Logo JINSECT 1.0

by ggianna - February 25, 2010, 19:03:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6342 views, 2076 downloads, 1 subscription

About: The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classi?cation and indexing.

  • Added java doc to downloadable files.
  • Created SourceForge wiki page at

Logo SMIDAS 1.1

by ambujtewari - August 15, 2010, 18:51:51 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10139 views, 2072 downloads, 1 subscription

About: A stochastic variant of the mirror descent algorithm employing Langford and Zhang's truncated gradient idea to minimize L1 regularized loss minimization problems for classification and regression.


Fixed major bug in implementation. The components of the iterate where the current example vector is zero were not being updated correctly. Thanks to Jonathan Chang for pointing out the error to us.

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.


Initial Announcement on

Logo Hivemall 0.3

by myui - March 13, 2015, 17:08:22 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 11907 views, 2070 downloads, 3 subscriptions

About: Hivemall is a scalable machine learning library running on Hive/Hadoop.

  • Supported Matrix Factorization
  • Added a support for TF-IDF computation
  • Supported AdaGrad/AdaDelta
  • Supported AdaGradRDA classification
  • Added normalization scheme

Logo ALGLIB 2.4.0

by Sergey_Bochkanov - March 10, 2010, 14:07:35 CET [ Project Homepage BibTeX Download ] 9587 views, 2062 downloads, 2 subscriptions

About: ALGLIB is an open source numerical analysis library distributed under GPL 2+. It implements both general numerical algorithms and machine learning algorithms. ALGLIB can be used from C#, C++, FreePascal, VBA and other languages. It is the only numerical analysis library which uses automatic translation to generate source code written in different programming languages with 100% identical functionality.

  1. New algorithms implemented: exact and approximate nearest neighbor search using kd-trees, new multidimensional scattered data interpolation/fitting algorithm with O(N·logN) complexity (modified Shepard's method with fast k-NN queries), linear algebra algorithms

  2. faster QR/LQ, matrix inversion, condition number estimation.

  3. Minor fixes

Logo Torch 5 5.1

by andresy - October 1, 2008, 04:25:12 CET [ Project Homepage BibTeX Download ] 13520 views, 2056 downloads, 2 subscriptions

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About: Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting [...]


Initial Announcement on

Logo Aciqra 1.2.1

by Caglow - June 25, 2009, 23:30:22 CET [ BibTeX Download ] 4378 views, 2046 downloads, 1 subscription

About: A desktop planetarium and sky map program which shows the sky from anywhere on Earth at any time.


Removed erroneous topocentric code. Increased maximum zoom for detail on planets.

Logo VLFeat 0.9.16

by andreavedaldi - October 5, 2012, 18:44:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 11868 views, 2043 downloads, 1 subscription

About: The VLFeat open source library implements popular computer vision algorithms including affine covariant feature detectors, HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, and quick shift. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.16.


VLFeat 0.9.16: Added VL_COVDET() (covariant feature detectors). This function implements the following detectors: DoG, Hessian, Harris Laplace, Hessian Laplace, Multiscale Hessian, Multiscale Harris. It also implements affine adaptation, estiamtion of feature orientation, computation of descriptors on the affine patches (including raw patches), and sourcing of custom feature frame. Addet the auxiliary function VL_PLOTSS(). This is the second point update supported by the PASCAL Harvest programme.

VLFeat 0.9.15: Added VL_HOG() (HOG features). Added VL_SVMPEGASOS() and a vastly improved SVM implementation. Added IHASHSUM (hashed counting). Improved INTHIST (integral histogram). Added VL_CUMMAX(). Improved the implementation of VL_ROC() and VL_PR(). Added VL_DET() (Detection Error Trade-off (DET) curves). Improved the verbosity control to AIB. Added support for Xcode 4.3, improved support for past and future Xcode versions. Completed the migration of the old test code in toolbox/test, moving the functionality to the new unit tests toolbox/xtest. Improved credits. This is the first point update supported by the PASCAL Harvest (several more to come shortly).

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