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About: SVMlin: Fast Linear SVMs for Supervised and Semisupervised Learning Changes:Initial Announcement on mloss.org.

About: TurboParser is a free multilingual dependency parser based on linear programming developed by André Martins. It is based on joint work with Noah Smith, Mário Figueiredo, Eric Xing, Pedro Aguiar. Changes:This version introduces a number of new features:
Note: The runtimes above are approximate, and based on experiments with a desktop machine with a Intel Core i7 CPU 3.4 GHz and 8GB RAM. To run this software, you need a standard C++ compiler. This software has the following external dependencies: AD3, a library for approximate MAP inference; Eigen, a template library for linear algebra; googleglog, a library for logging; gflags, a library for commandline flag processing. All these libraries are free software and are provided as tarballs in this package. This software has been tested on Linux, but it should run in other platforms with minor adaptations.

About: Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the nonlinear case the entire kernel matrix needs to be computed, so for large problems it is [...] Changes:Initial Announcement on mloss.org.

About: Itemset boosting (iBoost) performs linear regression in the complete space of power sets of mutations. It implements a forward feature selection procedure where, in each iteration, one mutation [...] Changes:Initial Announcement on mloss.org.

About: Evolutionary Learning of Globally Optimal Trees Changes:Fetched by rcranrobot on 20140501 00:00:05.459097

About: The Hidden Topic Markov Model Changes:Initial Announcement on mloss.org.

About: HDDM is a python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used widely in psychology and cognitive neuroscience to study decision making. Changes:

About: Matlab code for semisupervised regression and dimensionality reduction using Hessian energy. Changes:Initial Announcement on mloss.org.

About: Boosting Methods for Real and Simulated Data Changes:Fetched by rcranrobot on 20090624 07:16:09.478727

About: 3layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM. Changes:Initial Announcement on mloss.org.
