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About: A platform-independent C++ framework for machine learning, graphical models, and computer vision research and development. Changes:Version 1.0.2:
Version 1.0.1:
Version 1.0:
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About: A Tool for Embedding Strings in Vector Spaces Changes:Fixed several minor bugs. Support for signed embedding has been added.
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About: This toolbox implements several easy-to-use model for mixed-effects inference on classification performance in hierarchical classification analyses. Changes:Initial Announcement on mloss.org.
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About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this [...] Changes:http://sourceforge.net/projects/weka/files/weka-3-7/3.7.6/README-3-7-6.txt/view
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About: ELKI is a framework for implementing data-mining algorithms with support for index structures, that includes a wide variety of clustering and outlier detection methods. Changes:The full changelog is not yet up. Here is an excerpt of the new functions in 0.5.0 - further speed improvements - R-Tree flexibility: multiple new split strategies, bulk loaders, insertion strategies, so that ELKI can now do many R-Tree variations, including the original Guttman R-Tree, not only the R*-Tree. - K-Means flexibility: MacQueen and Lloyd style iterations along with various seeding strategies, including K-Means++ - VA-File (static only, not dynamic databases); partial-VA to come for 0.5.0 final? - Many popular cluster evaluation measures - Alpha shapes, Voronoi cells, Delaunay triangulations in the visualization layer (in the projected space, so 2D!) - Parallel coordinates (only halfway reviewed in beta1, more to come!) - Outlier ensemble code, to be presented at SDM 2012 end of april For the final 0.5.0 release we hope to have some approximate outlier detection methods for you (aLOCI, HilOut) as well as some subspace outlier detection methods including HiCS (ICDE 2012, to be presented tomorrow).
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About: Use the power of crowdsourcing to create ensembles. Changes:Initial Announcement on mloss.org.
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About: This library provides ways of computing generalised 2nd-order Stirling numbers for Pitman-Yor and Dirichlet processes. Included is a tester and parameter optimiser. This accompanies Buntine and Hutter's article: http://arxiv.org/abs/1007.0296 Changes:Version 1.2 does a bug fix for sampleb() when a>0, and also adds generic integer types for the stats passed to the hyperparameter samplers.
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About: R genetic programming framework Changes:Fetched by r-cran-robot on 2012-05-01 00:00:09.259606
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About: Pam Changes:Fetched by r-cran-robot on 2012-05-01 00:00:07.752656
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About: Generalized linear and additive models by likelihood based boosting Changes:Fetched by r-cran-robot on 2012-05-01 00:00:05.739603
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