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About: The gmm toolbox contains code for density estimation using mixtures of Gaussians: Starting from simple kernel density estimation with spherical and diagonal Gaussian kernels over manifold Parzen window until mixtures of penalised full Gaussians with only a few components. The toolbox covers many Gaussian mixture model parametrisations from the recent literature. Most prominently, the package contains code to use the Gaussian Process Latent Variable Model for density estimation. Most of the code is written in Matlab 7.x including some MEX files. Changes:Initial Announcement on mloss.org
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About: NaN-toolbox is a statistics and machine learning toolbox for handling data with and without missing values. Changes:xptopen.mex: [HTML_REMOVED] reads and writes SAS Transport format (*.xpt) ttest and ttest2: [HTML_REMOVED] paired and unpaired t-test for data with missing values (useful for users of Octave, and for Matlab users without statistics toolbox)
For more details see: http://biosig-consulting.com/matlab/NaN/CHANGELOG
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About: The glm-ie toolbox contains scalable estimation routines for GLMs (generalised linear models) and SLMs (sparse linear models) as well as an implementation of a scalable convex variational Bayesian inference relaxation. We designed the glm-ie package to be simple, generic and easily expansible. Most of the code is written in Matlab including some MEX files. The code is fully compatible to both Matlab 7.x and GNU Octave 3.2.x. Probabilistic classification, sparse linear modelling and logistic regression are covered in a common algorithmical framework allowing for both MAP estimation and approximate Bayesian inference. Changes:New matrix class Bugfixes More examples New penalty and potential functions Group sparsity
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About: A stochastic variant of the mirror descent algorithm employing Langford and Zhang's truncated gradient idea to minimize L1 regularized loss minimization problems for classification and regression. Changes:Fixed major bug in implementation. The components of the iterate where the current example vector is zero were not being updated correctly. Thanks to Jonathan Chang for pointing out the error to us.
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About: Trees WIth eXtra splits Changes:Fetched by r-cran-robot on 2010-08-12 12:52:50.579402
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About: PAM Changes:Fetched by r-cran-robot on 2010-08-12 12:52:48.547476
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About: Improved Predictors Changes:Fetched by r-cran-robot on 2010-08-12 12:52:47.706728
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About: Multivariate Adaptive Regression Spline Models Changes:Fetched by r-cran-robot on 2010-08-12 12:52:46.965898
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About: The SUMO Toolbox is a Matlab toolbox that automatically builds accurate surrogate models (also known as metamodels or response surface models) of a given data source (e.g., simulation code, data set, script, ...) within the accuracy and time constraints set by the user. The toolbox minimizes the number of data points (which it selects automatically) since they are usually expensive. Changes:Incremental update, fixing some cosmetic issues, coincides with JMLR publication.
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About: Classification and Regression Training Changes:Fetched by r-cran-robot on 2010-08-12 12:52:46.376590
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About: The GPML toolbox is a flexible and generic Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian Process (GP) models. Changes:Initial Announcement on mloss.org.
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About: An implementation of the infinite hidden Markov model. Changes:Since 0.4: Removed dependency from lightspeed (now using statistics toolbox). Updated to newer matlab versions.
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About: Bayesian treed Gaussian process models Changes:Fetched by r-cran-robot on 2010-08-12 12:52:50.335027
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About: Breiman and Cutler's random forests for classification and regression Changes:Fetched by r-cran-robot on 2010-08-12 12:52:49.319247
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About: A Laboratory for Recursive Partytioning Changes:Fetched by r-cran-robot on 2010-08-12 12:52:48.685262
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About: L1 (lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model Changes:Fetched by r-cran-robot on 2010-08-12 12:52:48.842948
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About: Lasso and elastic-net regularized generalized linear models Changes:Fetched by r-cran-robot on 2010-08-12 12:52:47.425704
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About: A C++ library of machine learning algorithms and tools. Several demos are included that show how to use the library. Also, there is a script-friendly command-line interface that makes the algorithms [...] Changes:See the change log at http://waffles.sourceforge.net/changelog.html
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About: Toolbox for circular statistics with Matlab (The Mathworks). Changes:Some bugfixes.
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About: The Maja Machine Learning Framework (MMLF) is a general framework for problems in the domain of Reinforcement Learning (RL) written in python. It provides a set of RL related algorithms and a set of benchmark domains. Furthermore it is easily extensible and allows to automate benchmarking of different agents. Changes:
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