Projects that are tagged with decision trees.


Logo JMLR Waffles 2013-12-09

by mgashler - December 9, 2013, 18:04:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 20328 views, 6340 downloads, 1 subscription

About: Script-friendly command-line tools for machine learning and data mining tasks. (The command-line tools wrap functionality from a public domain C++ class library.)

Changes:

Changed the license from LGPL to CC0. Added classes for stackable autoencoders and restricted boltzmann machines. Polished up the GBayesianNetwork class and add examples and unit tests. Added support for CMake. Made the build process also support clang, and be more mac-friendly. Simplified some important classes, including GMatrix and GNeuralNet. Enforced const correctness in more places. Nixed most uses of smart pointers. Made all learning algorithms thread-safe. Added thread-parallelism to several ensemble methods. Added support for binary division trees. Added some common activation functions. Added a tool to generate a vector of meta statistics about a dataset. Added several small-but-useful tools. Simplified the docs and web site.


Logo Boosted Decision Trees and Lists 1.0.2

by melamed - July 23, 2013, 22:40:34 CET [ BibTeX Download ] 1248 views, 411 downloads, 1 subscription

About: Boosting algorithms for classification and regression, with many variations. Features include: * Scalable and robust * Easily customizable loss functions * One-shot training for an entire regularization path * Continuous checkpointing * much more

Changes:
  • updated for gcc-4.8
  • added missing script used in sandbox evaluation

Logo Neural network designer 1.1.1

by bragi - December 28, 2012, 11:38:10 CET [ Project Homepage BibTeX Download ] 2130 views, 579 downloads, 1 subscription

About: a dbms for resonating neural networks. Create and use different types of machine learning algorithms.

Changes:

AIML compatible (AIML files can be imported); new 'Grid channel' for developing board games; improved topics editor; new demo project: ALice (from AIML); lots of bug-fixes and speed improvements


Logo treelearn 1

by iskander - September 21, 2011, 16:12:27 CET [ Project Homepage BibTeX Download ] 1973 views, 450 downloads, 1 subscription

About: A python implementation of Breiman's Random Forests.

Changes:

Initial Announcement on mloss.org.


Logo QuickDT 0.1

by sanity - September 21, 2011, 13:43:37 CET [ Project Homepage BibTeX Download ] 1832 views, 551 downloads, 1 subscription

About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use

Changes:

Initial Announcement on mloss.org.


Logo Cubist 2.07

by zenog - September 2, 2011, 14:52:17 CET [ Project Homepage BibTeX Download ] 2004 views, 506 downloads, 1 subscription

About: Cubist is the regression counterpart to the C5.0 decision tree tool.

Changes:

Initial Announcement on mloss.org.


Logo C5.0 2.07

by zenog - September 2, 2011, 14:49:04 CET [ Project Homepage BibTeX Download ] 2211 views, 540 downloads, 1 subscription

About: C5.0 is the successor of the C4.5 decision tree algorithm/tool. In particular, it is faster and more memory-efficient.

Changes:

Initial Announcement on mloss.org.


Logo aiParts 0.9.0

by bmarshall - September 8, 2008, 02:56:43 CET [ Project Homepage BibTeX Download ] 3818 views, 1088 downloads, 0 comments, 1 subscription

About: aiParts implements the High-Hope technique - options have models of emotions which affect and are affected by repeated attempts to solve a multi-decision problem. C++ classes for AI development.

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 ] 5815 views, 1696 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.


Logo boostree 0.1

by xavierc - December 1, 2007, 03:16:14 CET [ BibTeX Download ] 3694 views, 1260 downloads, 0 comments, 0 subscriptions

About: This package provides an implementation Schapire and Singer's AdaBoost.MH for multi-label classification. As a main feature, the package provides decision-tree weak learning, a generalization of [...]

Changes:

Initial Announcement on mloss.org.