About: Ordinal classification tree functions Changes:Initial Announcement on mloss.org by rcranrobot

About: Feature Selection SVM using penalty functions Changes:Fetched by rcranrobot on 20130401 00:00:07.509844

About: Random Survival Forests Changes:Fetched by rcranrobot on 20130301 00:00:08.083405

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: LIBSVM is an integrated software for support vector classification, (CSVC, nuSVC ), regression (epsilonSVR, nuSVR) and distribution estimation (oneclass SVM). It supports multiclass [...] Changes:Initial Announcement on mloss.org.

About: Stepwise Diagonal Discriminant Analysis Changes:Fetched by rcranrobot on 20120201 00:00:11.677447

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: kernlab provides kernelbased Machine Learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab [...] Changes:minor fixes in kcca and ksvm functions

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

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: Fitting user specified models with Group Lasso penalty Changes:Fetched by rcranrobot on 20130401 00:00:05.428021

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

About: Classification and Regression Training LSF Style: Augment some caret functions for parallel processing Changes:Initial Announcement on mloss.org.

About: Classification and Regression Training in Parallel Using NetworkSpaces: Augment some caret functions using parallel processing Changes:Initial Announcement on mloss.org.

About: Relevant Dimension Estimation (RDE) in Feature Spaces: The package provides functions for estimating the relevant dimension of a data set in feature spaces, applications to model selection, [...] Changes:Initial Announcement on mloss.org.

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: Recursive partitioning of longitudinal data using mixedeffects models Changes:Fetched by rcranrobot on 20130401 00:00:06.201307

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