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Logo r-cran-CoxBoost 1.4

by r-cran-robot - July 1, 2015, 00:00:05 CET [ Project Homepage BibTeX Download ] 20360 views, 4095 downloads, 3 subscriptions

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Changes:

Fetched by r-cran-robot on 2015-07-01 00:00:05.138021


Logo r-cran-Boruta 4.0.0

by r-cran-robot - July 1, 2015, 00:00:04 CET [ Project Homepage BibTeX Download ] 10662 views, 2242 downloads, 2 subscriptions

About: Wrapper Algorithm for All-Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2015-07-01 00:00:04.579991


Logo python weka wrapper 0.3.2

by fracpete - June 28, 2015, 23:09:13 CET [ Project Homepage BibTeX Download ] 13312 views, 2723 downloads, 3 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • The "packages" parameter of the "weka.core.jvm.start()" function can be used for specifying an alternative Weka home directory now as well
  • added "train_test_split" method to "weka.core.Instances" class to easily create train/test splits
  • "evaluate_train_test_split" method of "weka.classifiers.Evaluation" class now uses the "train_test_split" method

Logo r-cran-ElemStatLearn 2015.6.26

by r-cran-robot - June 26, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 5890 views, 1256 downloads, 2 subscriptions

About: Data Sets, Functions and Examples from the Book

Changes:

Fetched by r-cran-robot on 2015-07-01 00:00:05.340983


Logo Armadillo library 5.200

by cu24gjf - June 25, 2015, 02:50:49 CET [ Project Homepage BibTeX Download ] 57557 views, 11927 downloads, 5 subscriptions

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About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use, with a function syntax similar to MATLAB. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL, OpenBLAS).

Changes:
  • added interp1() for 1D interpolation
  • added orth() for finding the orthonormal basis of range space
  • added .is_sorted() for checking whether a vector or matrix has sorted elements
  • updated physical constants to NIST 2010 CODATA values
  • expanded element initialisation to handle nested initialiser lists (C++11)
  • workarounds for bugs in GCC, Intel and MSVC C++ compilers
  • Armadillo can make use of GPUs by linking with NVIDIA NVBLAS (a GPU-accelerated implementation of BLAS), or by linking with AMD ACML (which can use GPUs via OpenCL)

Logo Libra 1.1.2c

by lowd - June 25, 2015, 00:10:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 13615 views, 2903 downloads, 2 subscriptions

About: The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, sum-product networks, arithmetic circuits, and mixtures of trees.

Changes:

Version 1.1.2c (6/24/2015):

  • Libra can now be installed via OPAM as well. To install OPAM, see: http://opam.ocaml.org/doc/Install.html . Then run: "opam install libra-tk".
  • Updated documentation to describe OPAM installation.

Logo ADAMS 0.4.10

by fracpete - June 22, 2015, 23:14:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 11875 views, 2510 downloads, 3 subscriptions

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

Changes:
  • fixes a glitch in the debugging functionality, when using the Breakpoint control actor

Logo Recur 1

by douglasbagnall - June 16, 2015, 12:06:05 CET [ Project Homepage BibTeX Download ] 397 views, 73 downloads, 2 subscriptions

About: Recur is a collection of Gstreamer plugins and language modelling tools based on recurrent neural networks.

Changes:

Initial Announcement on mloss.org.


About: R package implementing statistical test and post hoc tests to compare multiple algorithms in multiple problems.

Changes:

Initial Announcement on mloss.org.


Logo KeLP 1.1.1

by kelpadmin - June 9, 2015, 15:37:29 CET [ Project Homepage BibTeX Download ] 1349 views, 321 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 classifiers without writing a single line of code.

Changes:

Some minor fixes and improvements are included in this version.

Check out this new version from our repositories. Soon we will upload new versions of the documentation pages, while API Javadoc is already available. Your suggestions will be very precious for us, so download and try KeLP 1.1.1!


Showing Items 1-10 of 588 on page 1 of 59: 1 2 3 4 5 6 Next Last