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.

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: Local alignment kernels measure the similarity between two sequences by summing up scores obtained from local alignments with gaps of the sequences. Changes:Initial Announcement on mloss.org.
