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Logo COIN OR 1.2

by sonne - July 13, 2009, 10:51:10 CET [ Project Homepage BibTeX Download ] 3121 views, 943 downloads, 1 subscription

About: The Computational Infrastructure for Operations Research (COIN-OR) project is an initiative to spur the development of open-source software for the operations research community.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-GMMBoost 1.0.3

by r-cran-robot - September 27, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 3109 views, 589 downloads, 0 subscriptions

About: Likelihood-based Boosting for Generalized mixed models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.366545


Logo r-cran-caretLSF 1.25

by r-cran-robot - December 3, 2008, 00:00:00 CET [ Project Homepage BibTeX Download ] 3067 views, 862 downloads, 1 subscription

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

Changes:

Initial Announcement on mloss.org.


Logo Denoising TOF 3D images using confidence measures 1

by mafrank - August 17, 2011, 16:59:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3066 views, 628 downloads, 1 subscription

About: Denoising images via normalized convolution

Changes:

Initial Announcement on mloss.org.


Logo Marray 2.2

by andres - July 6, 2011, 01:27:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3053 views, 742 downloads, 1 subscription

About: Fast Runtime-Flexible Multi-dimensional Arrays and Views for C++

Changes:

Initial Announcement on mloss.org.


About: The package provides a Lagrangian approach to the posterior regularization of given linear mappings. This is important in two cases, (a) when systems are under-determined and (b) when the external model for calculating the mapping is invariant to properties such as scaling. The software may be applied in cases when the external model does not provide its own regularization strategy. In addition, the package allows to rank attributes according to their distortion potential to a given linear mapping.

Changes:

Version 1.1 (May 23, 2012) memory and time optimizations distderivrel.m now supports assessing the relevance of attribute pairs

Version 1.0 (Nov 9, 2011) * Initial Announcement on mloss.org.


Logo Ankus 0.0.1

by suhyunjeon - September 13, 2013, 06:47:46 CET [ Project Homepage BibTeX Download ] 3040 views, 304 downloads, 1 subscription

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.


Logo pyGPs 1.3.1

by mn - December 1, 2014, 17:36:32 CET [ Project Homepage BibTeX Download ] 3021 views, 722 downloads, 3 subscriptions

About: pyGPs is a Python package for Gaussian process (GP) regression and classification for machine learning.

Changes:

Changelog pyGPs v1.3.1

November 25th 2014

structural updates:

  • full inline documentation with input parameter and output specified

  • check for the inputs and provide diagnostic messages for some inputs

  • consistant naming in inline and online documentation

  • string representation for dnlZStruct and postStruct. Now you can do sth like:

nlZ, dnlZ, post = model.getPosterior(x,y)

print post

  • instead of a python object, we provide now a more informative description.

  • add optimization into unit test routines. Also add checking for cholesky decomposition and checking positive-definite property of kernel matrix.

  • add jitter to the digonal of linear, linARD, and poly covariance for numerical stability.

  • fix several minor problems in unit test framework

  • hierachically rearranged for online documentation

  • add several supplementary instruction in online documentation


Logo MLWizard 5.2

by remat - July 26, 2012, 15:04:14 CET [ Project Homepage BibTeX Download ] 3006 views, 753 downloads, 1 subscription

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.


Logo HLearn 1.0

by mikeizbicki - May 9, 2013, 05:58:18 CET [ Project Homepage BibTeX Download ] 2998 views, 733 downloads, 1 subscription

About: HLearn makes simple machine learning routines available in Haskell by expressing them according to their algebraic structure

Changes:

Updated to version 1.0


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