5 projects found that use the apache 2.0 license.
Showing Items 21-25 of 25 on page 2 of 2: Previous 1 2

Logo OpenKernel library 0.1

by allauzen - April 23, 2010, 05:25:20 CET [ Project Homepage BibTeX Download ] 9440 views, 1137 downloads, 1 subscription

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About: OpenKernel is a library for creating, combining, learning and using kernels for machine learning applications.

Changes:

Initial Announcement on mloss.org.


Logo sofia ml 0.1

by dsculley - December 29, 2009, 23:30:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5314 views, 955 downloads, 0 comments, 1 subscription

About: A fast implementation of several stochastic gradient descent learners for classification, ranking, and ROC area optimization, suitable for large, sparse data sets. Includes Pegasos SVM, SGD-SVM, Passive-Aggressive Perceptron, Perceptron with Margins, Logistic Regression, and ROMMA. Commandline utility and API libraries are provided.

Changes:

Initial Announcement on mloss.org.


Logo JMLR RL Glue and Codecs -- Glue 3.x and Codecs

by btanner - October 12, 2009, 07:50:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 17042 views, 1926 downloads, 1 subscription

About: RL-Glue allows agents, environments, and experiments written in Java, C/C++, Matlab, Python, and Lisp to inter operate, accelerating research by promoting software re-use in the community.

Changes:

RL-Glue paper has been published in JMLR.


Logo Open HTMM 1.0

by amitg - December 24, 2008, 08:05:36 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4720 views, 1172 downloads, 1 subscription

About: The Hidden Topic Markov Model

Changes:

Initial Announcement on mloss.org.


Logo NetKit 1.0.3

by sofmac - August 24, 2008, 07:45:10 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4407 views, 1167 downloads, 0 comments, 1 subscription

About: NetKit is an open-source Network Learning toolkit for statistical relational learning. Its architecture is extremely modular, making it easy to combine different learning algorithms.

Changes:

Initial Announcement on mloss.org.


Showing Items 21-25 of 25 on page 2 of 2: Previous 1 2