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About: This software is aimed at performing supervised/unsupervised learning on graph data, where each graph is represented as binary indicators of subgraph features. Changes:Initial Announcement on mloss.org.

About: Matlab code for performing variational inference in the Indian Buffet Process with a linearGaussian likelihood model. Changes:Initial Announcement on mloss.org.

About: Nieme is a C++ machine learning library for largescale classification, regression and ranking. It provides a simple interface available in C++, Python and Java and a user interface for visualization. Changes:Released Nieme 1.0

About: stroll (STRuctured Output Learning Library) is a library for Structured Output Learning. Changes:Initial Announcement on mloss.org.

About: Fitting user specified models with Group Lasso penalty Changes:Fetched by rcranrobot on 20130401 00:00:05.428021

About: CoFiRank is a Collaborative Filtering system based on matrix factorization. CoFiRank is based on the idea that it is better to predict the relative order of preferences (ranking) instead of the absolute rating. Changes:Initial Announcement on mloss.org.

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
