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

About: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS) Changes:Fetched by rcranrobot on 20120201 00:00:11.194183

About: A fast implementation of several stochastic gradient descent learners for classification, ranking, and ROC area optimization, suitable for large, sparse data sets. Includes Pegasos SVM, SGDSVM, PassiveAggressive Perceptron, Perceptron with Margins, Logistic Regression, and ROMMA. Commandline utility and API libraries are provided. Changes:Initial Announcement on mloss.org.

About: 3layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM. Changes:Initial Announcement on mloss.org.

About: CORElearn  classification, regression, feature evaluation and ordinal evaluation Changes:Fetched by rcranrobot on 20140401 00:00:04.667607

About: The pboost toolbox is a set of command line programs and a Matlab wrapper for mining frequent subsequences and sequence classification. For our purposes, a sequence is defined an ordered sequence of [...] Changes:Initial Announcement on mloss.org.

About: HDDM is a python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used widely in psychology and cognitive neuroscience to study decision making. Changes:

About: A work in progress Changes:Initial Announcement on mloss.org.

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: Relaxed Lasso Changes:Fetched by rcranrobot on 20130401 00:00:07.978325
