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About: Toolkit for parametric and nonparametric regression and classification. Changes:Initial Announcement on mloss.org.
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About: The code is for computing state-of-the-art video descriptors for action recognition. The most up-to-date information can be found at: http://lear.inrialpes.fr/people/wang/dense_trajectories Changes:Initial Announcement on mloss.org.
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About: A collection of clustering algorithms implemented in Javascript. Changes:Initial Announcement on mloss.org.
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About: Eblearn is an object-oriented C++ library that implements various Changes:Initial Announcement on mloss.org.
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About: Ankus is an open source data mining / machine learning based MapReduce that supports a variety of advanced algorithms. Changes:Initial Announcement on mloss.org.
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About: Bayesian state-space modelling and inference on high-performance computer hardware. Changes:Initial Announcement on mloss.org.
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About: Effect Displays for Linear, Generalized Linear, and Other Models Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.810965
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About: Logic Forest Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.077571
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About: Distributed optimization: Support Vector Machines and LASSO regression on distributed data Changes:Initial Upload
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About: C5.0 is the successor of the C4.5 decision tree algorithm/tool. In particular, it is faster and more memory-efficient. Changes:Initial Announcement on mloss.org.
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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.
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About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use Changes:Initial Announcement on mloss.org.
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About: Cubist is the regression counterpart to the C5.0 decision tree tool. Changes:Initial Announcement on mloss.org.
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About: Rival is an open source Java toolkit for recommender system evaluation. It provides a simple way to create evaluation results comparable across different recommendation frameworks. Changes:Initial Announcement on mloss.org.
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About: BudgetedSVM is an open-source C++ toolbox for scalable non-linear classification. The toolbox can be seen as a missing link between LibLinear and LibSVM, combining the efficiency of linear with the accuracy of kernel SVM. We provide an Application Programming Interface for efficient training and testing of non-linear classifiers, supported by data structures designed for handling data which cannot fit in memory. We also provide command-line and Matlab interfaces, providing users with an efficient, easy-to-use tool for large-scale non-linear classification. Changes:Changed license from LGPL v3 to Modified BSD.
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About: C++ generic programming tools for machine learning Changes:Initial Announcement on mloss.org.
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About: GritBot is an data cleaning and outlier/anomaly detection program. Changes:Initial Announcement on mloss.org.
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About: Use the power of crowdsourcing to create ensembles. Changes:Initial Announcement on mloss.org.
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About: Classification and Regression Training in Parallel Using NetworkSpaces: Augment some caret functions using parallel processing Changes:Initial Announcement on mloss.org.
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About: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected Changes:Fetched by r-cran-robot on 2012-12-01 00:00:07.510624
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