About: BMRM is an open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem. Changes:Initial Announcement on mloss.org.

About: This software is aimed at performing supervised/unsupervised learning on graph data, where each graph is represented as binary indicators of subgraph features. Changes:Initial Announcement on mloss.org.

About: Nieme is a C++ machine learning library for largescale classification, regression and ranking. It provides a simple interface available in C++, Python and Java and a user interface for visualization. Changes:Released Nieme 1.0

About: stroll (STRuctured Output Learning Library) is a library for Structured Output Learning. Changes:Initial Announcement on mloss.org.

About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...] Changes:Initial Announcement on mloss.org.

About: JNCC2 is the opensource implementation of the Naive Credal Classifier2 (NCC2), i.e., an extension of Naive Bayes towards imprecise probabilities, designed to deliver robust classifications even on [...] 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: LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2regularized logistic regression (LR), L2loss linear SVM, L1loss linear SVM, and multiclass SVM Changes:Initial Announcement on mloss.org.

About: LaRank is an online solver for multiclass Support Vector Machines. Changes:Initial Announcement on mloss.org.

About: MinorThird is a collection of Java classes for storing text, annotating text, and learning to extract entities and categorize text. It was written primarily by William W. Cohen, a professor at [...] Changes:Initial Announcement on mloss.org.

About: It solves a classification problem over symmetric matrices with dual spectral norm (trace norm) regularization using a simple interior point method. It was successfully applied to single trial EEG [...] Changes:Initial Announcement on mloss.org.

About: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes three methods Changes:Initial Announcement on mloss.org.

About: This is a C++ software designed to train largescale SVMs for binary classification. The algorithm is also implemented in parallel (**PGPDT**) for distributed memory, strictly coupled multiprocessor [...] 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: RapidMiner (formerly YALE) is one of the most widely used opensource data mining suites and software solutions due to its leadingedge technologies and its functional range. Applications of [...] Changes:Initial Announcement on mloss.org.

About: The SimpleSVM toolbox contains the svm solver of the same name. The current version includes CSVM, HMSVM and nuSVM based on the regularization path. It will soon include OCSVM, regularization [...] Changes:Initial Announcement on mloss.org.

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: Torch is a statistical machine learning library written in C++ at IDIAP, Changes:Initial Announcement on mloss.org.

About: Lush is an objectoriented Lisp dialect with a supersimple way of integrating C/C++ code and libraries. It includes extensive libraries for numerical computing, machine learning, and computer [...] Changes:Initial Announcement on mloss.org.
