Showing Items 321-340 of 676 on page 17 of 34: First Previous 12 13 14 15 16 17 18 19 20 21 22 Next Last
About: This package provides an implementation Schapire and Singer's AdaBoost.MH for multi-label classification. As a main feature, the package provides decision-tree weak learning, a generalization of [...] Changes:Initial Announcement on mloss.org.
|
About: Python module for machine learning multivariate time series Changes:Initial Announcement on mloss.org.
|
About: dANN is an Artificial Intelligence and Artificial Genetics library targeted at employing conventional techniques as well as acting as a platform for research & development of novel techniques. As new techniques are developed and proven to be effective they will be integrated into the core library. It is currently written in Java, C++, and C#. However only the java version is currently in active development. If you want to obtain a version other than the java version you will need to get it directly from GIT. Changes:Please get the version in GIT only, the released version is old.
|
About: MLwizard recommends and optimizes classification algorithms based on meta-learning and is a software wizard fully integrated into RapidMiner but can be used as library as well. Changes:Faster parameter optimization using genetic algorithm with predefined start population.
|
About: PSVM - Support vector classification, regression and feature extraction for non-square dyadic data, non-Mercer kernels. Changes:Initial Announcement on mloss.org.
|
About: The open source Error-Correcting Output Codes (ECOC) library contains both state-of-the-art coding and decoding designs, as well as the option to include your own coding, decoding, and base classifier. Changes:Initial Announcement on mloss.org.
|
About: LaRank is an online solver for multiclass Support Vector Machines. Changes:Initial Announcement on mloss.org.
|
About: Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is [...] Changes:Initial Announcement on mloss.org.
|
About: Disco is an open-source implementation of the [Map-Reduce framework](http://en.wikipedia.org/wiki/MapReduce) for distributed computing. As the original framework, Disco supports parallel [...] Changes:Initial Announcement on mloss.org.
|
About: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression. Changes:Fetched by r-cran-robot on 2013-04-01 00:00:08.226306
|
About: The gboost toolbox is a framework for classification of connected, undirected, labeled graphs. Changes:Initial Announcement on mloss.org.
|
About: A native Python, scikit-compatible, implementation of a variety of multi-label classification algorithms. Changes:
|
About: CIlib is a library of computational intelligence algorithms and supporting components that allows simple extension and experimentation. The library is peer reviewed and is backed by a leading research group in the field. The library is under active development. Changes:Initial Announcement on mloss.org.
|
About: Intended for .NET developers wanting to implement algorithms directly in a common .NET language (recommended: C#). Support for n-dim generic arrays, LAPACK, FFT, cells, logicals, 2D&3D plotting [...] Changes:Initial Announcement on mloss.org.
|
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: A Graphical Tool for Designing and Training Deep Neural Networks Changes:
|
About: The Ngram Statistics Package is a suite of Perl modules that identifies significant multi-word units (collocations) in written text using many different tests of association. NSP allows a user to [...] Changes:Initial Announcement on mloss.org.
|
About: Efficient C++ library for analog reservoir computing neural networks (Echo State Networks). Changes:Initial Announcement on mloss.org.
|
About: The Sleipnir C++ library implements a variety of machine learning and data manipulation algorithms focusing on heterogeneous data integration and efficiency for large biological data collections. Changes:Initial Announcement on mloss.org.
|
About: A library for artificial neural networks. Changes:Added algorithms:
|