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About: CRFSuite is a speedoriented implementation of Conditional Random Fields (CRFs). This software features: parameter estimation using SGD and LBFGS, l1/l2 regularization, simple data I/O format, etc. Changes:Initial Announcement on mloss.org.

About: The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible. Changes:Forgot to include the Java sources.

About: Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Changes:Updated version to 1.0.1

About: Gradient Boosted Regression Trees with ErrorsinVariables Changes:Fetched by rcranrobot on 20120601 00:00:05.010630

About: Very fast implementation of the chisquared distance between histograms (or vectors with nonnegative entries). Changes:Removed bug in symmetric chisquare distance and updated python wrapper to python 2.5 compatiblity. 
About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...] Changes:Initial Announcement on mloss.org.

About: SVQP1 and SVQP2 are QP solvers for training SVM. Changes:Initial Announcement on mloss.org.

About: A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and a tree data structure. This library is useful for efficient Kernel Density [...] Changes:Initial Announcement on mloss.org.

About: This package contains an implementation of the Infinite Kernel Learning (IKL) algorithm and the SimpleMKL algorithm. This is realized by building on CoinIpopt3.3.5 and Libsvm. Changes:Initial Announcement on mloss.org.

About: A Kmeans clustering implementation for commandline, Python, Matlab and C. This algorithm yields the very same solution as standard Kmeans, even after each iteration. However it uses some triangle [...] Changes:Initial Announcement on mloss.org.
