About: Investigation of dependencies between multiple data sources allows the discovery of regularities and interactions that are not seen in individual data sets. The demand for such methods is increasing with the availability and size of cooccurring observations in computational biology, open data initiatives, and in other domains. We provide practical, open access implementations of generalpurpose algorithms that help to realize the full potential of these information sources. Changes:Three independent modules (drCCA, pint, MultiWayCCA) have been added.

About: ALGLIB is an open source numerical analysis library distributed under GPL 2+. It implements both general numerical algorithms and machine learning algorithms. ALGLIB can be used from C#, C++, FreePascal, VBA and other languages. It is the only numerical analysis library which uses automatic translation to generate source code written in different programming languages with 100% identical functionality. Changes:

About: Visualizing the performance of scoring classifiers. Changes:Fetched by rcranrobot on 20130401 00:00:08.344833

About: Recursively Partitioned Mixture Model Changes:Initial Announcement on mloss.org by rcranrobot

About: VR Changes:Fetched by rcranrobot on 20091003 07:16:05.643423

About: JavaML is a collection of machine learning and data mining algorithms, which aims to be a readily usable and easily extensible API for both software developers and research scientists. Changes:new release

About: Reference implementation of the LASVM online and active SVM algorithms as described in the JMLR paper. The interesting bit is a small C library that implements the LASVM process and reprocess [...] Changes:Minor bug fix

About: SeDuMi is a software package to solve optimization problems over symmetric cones. This includes linear, quadratic, second order conic and semidefinite optimization, and any combination of these. Changes:Initial Announcement on mloss.org.

About: LibSGDQN proposes an implementation of SGDQN, a carefully designed quasiNewton stochastic gradient descent solver for linear SVMs. Changes:small bug fix (thx nicolas ;)

About: This package contains functions to estimate linear and nonlinear regression methods with Penalized Partial Least Squares. Changes:

About: The package estimates the matrix of partial correlations based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression. Changes:Initial Announcement on mloss.org.

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

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

About: BenchMarking Via Weka is a clientserver architecture that supports interoperability between different machine learning systems. Machine learning systems need to provide mechanisms for processing [...] Changes:Initial Announcement on mloss.org.

About: Experiment Databases for Machine Learning is a large public database of machine learning experiments as well as a framework for producing similar databases for specific goals. It provides a way to [...] Changes:Initial Announcement on mloss.org.

About: *binsdfc* is a command line implementation of the algorithm described in [Endres,Oram,Schindelin,Foldiak:*Bayesian binning beats approximate alternatives: estimating peristimulus time histograms*, [...] Changes:Changed build system from automake to cmake. Moved download page to www.compsens.unituebingen.de

About: Nested Effects Models (NEMs) are a class of directed graphical models originally introduced to analyze the effects of gene perturbation screens with highdimensional phenotypes. In contrast to other [...] Changes:Initial Announcement on mloss.org.

About: The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the lowlevel details of [...] Changes:Initial Announcement on mloss.org.

About: The HighDimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for highdimensional data. This classifier is based on a mixture of Gaussian models adapted for [...] Changes:Initial Announcement on mloss.org.

About: The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for highdimensional data. This classifier is based on Gaussian models adapted for [...] Changes:Initial Announcement on mloss.org.
