Model-Based Boosting: Functional gradient descent algorithms (boosting) for optimizing general loss functions utilizing componentwise least squares, either of parametric linear form or smoothing [...]

MLPACK is the first comprehensive scalable machine learning library.

A Laboratory for Recursive Partytioning: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed [...]

CVX is a Matlab-based modeling system for convex optimization. CVX turns Matlab into a modeling language, allowing constraints and objectives to be specified using standard Matlab expression syntax. [...]

Recursive Partitioning: Recursive partitioning and regression trees

Classification and Regression Training: Misc functions for training and plotting classification and regression models

kernlab provides kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab [...]

R/Weka interface: An R interface to Weka (Version 3.5.8). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, [...]

Classification and Regression Training LSF Style: Augment some caret functions for parallel processing

Classification and Regression Training in Parallel Using NetworkSpaces: Augment some caret functions using parallel processing

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, [...]

Classification and visualization: Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund

Mining Association Rules and Frequent Itemsets: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also [...]

Misc Functions of the Department of Statistics (e1071), TU Wien: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path [...]

The High-Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for high-dimensional data. This classifier is based on a mixture of Gaussian models adapted for [...]

PALMA computes the optimal spliced alignment of a mRNA sequence to a genomic sequence. The main python script takes two FASTA files containing the target (e.g. a DNA sequence, part of the genome) [...]

RapidMiner (formerly YALE) is one of the most widely used open-source data mining suites and software solutions due to its leading-edge technologies and its functional range. Applications of [...]

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 [...]

Lush is an object-oriented Lisp dialect with a super-simple way of integrating C/C++ code and libraries. It includes extensive libraries for numerical computing, machine learning, and computer [...]

The gboost toolbox is a framework for classification of connected, undirected, labeled graphs.