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Logo RLScore 0.7

by aatapa - September 20, 2016, 09:51:25 CET [ Project Homepage BibTeX Download ] 269 views, 34 downloads, 2 subscriptions

About: RLScore - regularized least-squares machine learning algorithms package

Changes:

Initial Announcement on mloss.org.


Logo r-cran-caret 6.0-71

by r-cran-robot - July 24, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 101836 views, 19825 downloads, 3 subscriptions

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2016-09-01 00:00:04.636086


Logo r-cran-Boruta 5.1.0

by r-cran-robot - September 1, 2016, 00:00:04 CET [ Project Homepage BibTeX Download ] 19572 views, 4098 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2016-09-01 00:00:04.309309


Logo r-cran-arules 1.4-2

by r-cran-robot - August 6, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 32076 views, 6853 downloads, 3 subscriptions

About: Mining Association Rules and Frequent Itemsets

Changes:

Fetched by r-cran-robot on 2016-09-01 00:00:03.643479


Logo slim for matlab 0.2

by ustunb - August 23, 2016, 20:27:00 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1012 views, 138 downloads, 2 subscriptions

About: learn optimized scoring systems using MATLAB and the CPLEX Optimization Studio

Changes:

Initial Announcement on mloss.org.


Logo NaN toolbox 3.0.3

by schloegl - August 19, 2016, 11:08:57 CET [ Project Homepage BibTeX Download ] 50005 views, 10063 downloads, 3 subscriptions

About: NaN-toolbox is a statistics and machine learning toolbox for handling data with and without missing values.

Changes:

Changes in v.3.0.3 - improve compatibility for Octave on Windows

Changes in v.3.0.1 - fix packaging for octave

Changes in v.2.8.5 - bug fix: trimmean - compiler support for gcc-5 and clang - fix typos

For details see the CHANGELOG at http://pub.ist.ac.at/~schloegl/matlab/NaN/CHANGELOG


Logo JMLR dlib ml 19.1

by davis685 - August 13, 2016, 20:24:13 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 153125 views, 24724 downloads, 5 subscriptions

About: This project is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

Changes:

This release adds support for cuDNN 5.1 as well as a number of minor bug fixes and usability improvements.


Logo KeLP 2.1.0

by kelpadmin - August 11, 2016, 10:40:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10559 views, 2448 downloads, 3 subscriptions

About: Kernel-based Learning Platform (KeLP) is Java framework that supports the implementation of kernel-based learning algorithms, as well as an agile definition of kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms, through the definition of specific interfaces. Once a new kernel function has been implemented, it can be automatically adopted in all the available kernel-machine algorithms. KeLP includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. It allows to build complex kernel machine based systems, leveraging on JSON/XML interfaces to instantiate prediction models without writing a single line of code.

Changes:

In addition to minor bug fixes, this release includes:

  • a flexible system to manipulate example-pairs
  • new manipulators for performing tree pruning
  • new examples for the usage of kelp

Check out this new version from our repositories. API Javadoc is already available. Your suggestions will be very precious for us, so download and try KeLP 2.1.0!


Logo Somoclu 1.6.2

by peterwittek - August 9, 2016, 14:30:34 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 18358 views, 3445 downloads, 3 subscriptions

About: Somoclu is a massively parallel implementation of self-organizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Apart from a command line interface, Python, R, and MATLAB are supported.

Changes:
  • Changed: In-place codebook updates when compiled without MPI. This improves update speed and substantially cuts memory use.
  • Changed: Compatible with Visual Studio 15.
  • Fixed: The BMUs returned after training were from before the last epoch. Now another round of BMU search is done.
  • Fixed: Training can continue on the same data in the Python wrapper.
  • Fixed: GPU memory allocation problem on Windows.

Logo AMIDST Toolbox 0.5.1

by ana - August 8, 2016, 13:45:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3646 views, 525 downloads, 4 subscriptions

About: A Java Toolbox for Scalable Probabilistic Machine Learning.

Changes:

The new added functionalities include support to Flink for distributed learning of probabilistic graphical models and support for Latent Dirichlet Allocation Models for text analysis purposes.

Detailed information can be found in the toolbox's web page


Showing Items 1-10 of 624 on page 1 of 63: 1 2 3 4 5 6 Next Last