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

Fetched by r-cran-robot on 2013-05-01 00:00:05.218681

About: Classification and Regression Training

Fetched by r-cran-robot on 2013-05-01 00:00:05.351338

About: machine learning library in java for easy development of new kernels

Version 2.0.

• Separation of the core library and unit testing
• Junit testing added
• Lots of bug fixes
• Better examples, and many useless test classes removed
• A small demo script to benchmark the library was added

Warning: all classes have migrated under the fr.lip6.jkernelmachines package, which breaks backward compatibility, but was necessary to keep the project going on sanely.

About: The open-source C-package fastICA implements the fastICA algorithm of Aapo Hyvarinen et al. (URL: http://www.cs.helsinki.fi/u/ahyvarin/) to perform Independent Component Analysis (ICA) and Projection Pursuit. fastICA is released under the GNU Public License (GPL).

Initial Announcement on mloss.org.

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

• Added almost 20 more conversions and 20 new actors
• R-Project integration using Rserve
• WEKA webservice allows for programming language agnostic training, evaluation and use of WEKA models (classifiers, clusterers) and data processing using filters
• Spreadsheets now come with basic formula support
• Spreadsheets can be used for lookup tables in the flow
• Support for "chunked" reading/writing of spreadsheets to process millions of rows

About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this [...]

http://sourceforge.net/projects/weka/files/weka-3-7/3.7.9/README-3-7-9.txt/view

About: libnabo is a fast K Nearset Neighbor library for low-dimensional spaces.

• Added python bindings
• Improved performances with STL_HEAP when the number of points found is significantly smaller than the number of points requested
• Added boundary checks in case of very large point clouds
• Fixed epsilon semantics to match the one of ANN

About: Orange is a component-based machine learning and data mining software. It includes a friendly yet powerful and flexible graphical user interface for visual programming. For more advanced use(r)s, [...]

Added multi-target and multi-label learning, neural networks, Earth (MARS), PLS, and a faster tree induces for use in random forests; reorganization of module hierarchy; (weakly supported) Qwt has been replaced with a homemade module; networkx is used instead of a (weak) homemade structures for graphs; documentation has been moved to .rst, with a lot of it written anew or heavily redacted; improved system for registration of add-ons.

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.

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).