About: Classification and visualization Changes:Fetched by rcranrobot on 20130401 00:00:05.722314

About: A Toolkit for Recursive Partytioning Changes:Fetched by rcranrobot on 20130401 00:00:06.838561

About: Feedforward Neural Networks and Multinomial LogLinear Models Changes:Fetched by rcranrobot on 20130401 00:00:06.544403

About: Graphical user interface for data mining in R Changes:Fetched by rcranrobot on 20130401 00:00:07.700426

About: Regularization paths for SCAD and MCPpenalized regression models Changes:Fetched by rcranrobot on 20130401 00:00:06.449164

About: Lasso and elasticnet regularized generalized linear models Changes:Fetched by rcranrobot on 20130401 00:00:05.081872

About: The opensource Cpackage fastICA implements the fastICA algorithm of Aapo Hyvarinen et al. (URL: http://www.cs.helsinki.fi/u/ahyvarin/) to perform Independent Component Analysis (ICA) and Projection Pursuit. fastICA is released under the GNU Public License (GPL). Changes:Initial Announcement on mloss.org.

About: Heteroscedastic Discriminant Analysis Changes:Fetched by rcranrobot on 20130401 00:00:05.551691

About: JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, NadarayaWatson estimator); (3) generative models for random networks (smallworld, scalefree, exponential random graphs, Fiedler random graphs/fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition. Changes:JProGraM 13.2  CHANGE LOG Release date: February 13, 2012 New features:  Support for Fiedler random graphs/random field models for largescale networks (ninofreno.graph.fiedler package);  Various bugfixes and enhancements (especially in the ninofreno.graph and ninofreno.math package).

About: Regularization paths for regression models with grouped covariates Changes:Fetched by rcranrobot on 20130401 00:00:05.489694

About: ModelBased Boosting Changes:Fetched by rcranrobot on 20130401 00:00:06.324985

About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model Changes:Fetched by rcranrobot on 20130401 00:00:05.305206

About: Generalized Boosted Regression Models Changes:Fetched by rcranrobot on 20130401 00:00:05.019963

About: A Laboratory for Recursive Partytioning Changes:Fetched by rcranrobot on 20130401 00:00:06.775432

About: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected Changes:Fetched by rcranrobot on 20121201 00:00:07.510624

About: Bayesian Prediction with Highorder Interactions Changes:Fetched by rcranrobot on 20121201 00:00:03.777292

About: Mapping, pruning, and graphing tree models Changes:Fetched by rcranrobot on 20130401 00:00:06.263217

About: L1 constrained estimation aka `lasso' Changes:Fetched by rcranrobot on 20130401 00:00:05.967868

About: Improved Predictors Changes:Fetched by rcranrobot on 20130401 00:00:05.613011

About: Python Machine Learning Toolkit Changes:Added LASSO (using coordinate descent optimization). Made SVM classification (learning and applying) much faster: 2.5x speedup on yeast UCI dataset.
