About: machine learning library in java for easy development of new kernels Changes:Version 2.3 (density edition)

About: The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods. Changes:20140411 Version 4.4 New features
Improvements
Plus bug fixes

About: C++ software for statistical classification, probability estimation and interpolation/nonlinear regression using variable bandwidth kernel estimation. Changes:New in Version 0.9.7:

About: SAMOA is a platform for mining on big data streams. It is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms. Changes:Initial Announcement on mloss.org.

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks Changes:Fetched by rcranrobot on 20140401 00:00:04.738601

About: A wrapper algorithm for allrelevant feature selection Changes:Fetched by rcranrobot on 20140401 00:00:04.400248

About: Mining Association Rules and Frequent Itemsets Changes:Fetched by rcranrobot on 20140401 00:00:04.046616

About: DAL is an efficient and flexibible MATLAB toolbox for sparse/lowrank learning/reconstruction based on the dual augmented Lagrangian method. Changes:

About: Classification and Regression Training Changes:Fetched by rcranrobot on 20140401 00:00:04.596559

About: Misc Functions of the Department of Statistics (e1071), TU Wien Changes:Fetched by rcranrobot on 20140401 00:00:04.937452

About: Estimates statistical significance of association between variables and their principal components (PCs). Changes:Initial Announcement on mloss.org.

About: DRVQ is a C++ library implementation of dimensionalityrecursive vector quantization, a fast vector quantization method in highdimensional Euclidean spaces under arbitrary data distributions. It is an approximation of kmeans that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a byproduct of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter being not very precise but extremely fast. Changes:Initial Announcement on mloss.org.

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. It detects 100 times smaller segments than previous methods. Changes:o citation update o plot function improved

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. Changes:o citation update o plot function improved

About: Scriptfriendly commandline tools for machine learning and data mining tasks. (The commandline tools wrap functionality from a public domain C++ class library.) Changes:Changed the license from LGPL to CC0. Added classes for stackable autoencoders and restricted boltzmann machines. Polished up the GBayesianNetwork class and add examples and unit tests. Added support for CMake. Made the build process also support clang, and be more macfriendly. Simplified some important classes, including GMatrix and GNeuralNet. Enforced const correctness in more places. Nixed most uses of smart pointers. Made all learning algorithms threadsafe. Added threadparallelism to several ensemble methods. Added support for binary division trees. Added some common activation functions. Added a tool to generate a vector of meta statistics about a dataset. Added several smallbutuseful tools. Simplified the docs and web site.

About: A library for calculating and accessing generalized Stirling numbers of the second kind, which are used for inference in PoissonDirichlet processes. Changes:Initial Announcement on mloss.org.

About: Evolutionary Learning of Globally Optimal Trees Changes:Fetched by rcranrobot on 20140401 00:00:04.866198

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:

About: The glmie 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 glmie 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:added factorial mean field inference as a third algorithm complementing expectation propagation and variational Bayes generalised nonGaussian potentials so that affine instead of linear functions of the latent variables can be used

About: Document/Text preprocessing for topic models: suite of Perl scripts for preprocessing text collections to create dictionaries and bag/list files for use by topic modelling software. Changes:Cleaned up man pages and created user guide.
