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Logo r-cran-caret 6.0-52

by r-cran-robot - July 16, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 70153 views, 14425 downloads, 1 subscription

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2015-08-01 00:00:04.828756


Logo JMLR GPstuff 4.6

by avehtari - July 15, 2015, 15:08:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 22189 views, 5307 downloads, 2 subscriptions

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About: The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods.

Changes:

2015-07-09 Version 4.6

Development and release branches available at https://github.com/gpstuff-dev/gpstuff

New features

  • Use Pareto smoothed importance sampling (Vehtari & Gelman, 2015) for

  • importance sampling leave-one-out cross-validation (gpmc_loopred.m)

  • importance sampling integration over hyperparameters (gp_ia.m)

  • importance sampling part of the logistic Gaussian process density estimation (lgpdens.m)

  • references:

    • Aki Vehtari and Andrew Gelman (2015). Pareto smoothed importance sampling. arXiv preprint arXiv:1507.02646.
    • Aki Vehtari, Andrew Gelman and Jonah Gabry (2015). Efficient implementation of leave-one-out cross-validation and WAIC for evaluating fitted Bayesian models.
  • New covariance functions

    • gpcf_additive creates a mixture over products of kernels for each dimension reference: Duvenaud, D. K., Nickisch, H., & Rasmussen, C. E. (2011). Additive Gaussian processes. In Advances in neural information processing systems, pp. 226-234.
    • gpcf_linearLogistic corresponds to logistic mean function
    • gpcf_linearMichelismenten correpsonds Michelis Menten mean function

Improvements - faster EP moment calculation for lik_logit

Several minor bugfixes


Logo r-cran-arules 1.1-9

by r-cran-robot - July 13, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 19783 views, 4099 downloads, 3 subscriptions

About: Mining Association Rules and Frequent Itemsets

Changes:

Fetched by r-cran-robot on 2015-08-01 00:00:04.026939


Logo NaN toolbox 2.8.1

by schloegl - July 6, 2015, 22:43:23 CET [ Project Homepage BibTeX Download ] 36126 views, 7363 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.2.8.1 - number of bug fixes - compatibility issues with recent versions of Octave are addressed - upgrade to libsvm 3-12

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


Logo JMLR GPML Gaussian Processes for Machine Learning Toolbox 3.6

by hn - July 6, 2015, 12:31:28 CET [ Project Homepage BibTeX Download ] 25980 views, 6029 downloads, 4 subscriptions

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About: The GPML toolbox is a flexible and generic Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian Process (GP) models.

Changes:
  • added a new inference function infGrid_Laplace allowing to use non-Gaussian likelihoods for large grids

  • fixed a bug due to Octave evaluating norm([]) to a tiny nonzero value, modified all lik/lik*.m functions reported by Philipp Richter

  • small bugfixes in covGrid and infGrid

  • bugfix in predictive variance of likNegBinom due to Seth Flaxman

  • bugfix in infFITC_Laplace as suggested by Wu Lin

  • bugfix in covPP{iso,ard}


Logo python weka wrapper 0.3.2

by fracpete - June 28, 2015, 23:09:13 CET [ Project Homepage BibTeX Download ] 14555 views, 3073 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 ] 6410 views, 1376 downloads, 3 subscriptions

About: Data Sets, Functions and Examples from the Book

Changes:

Fetched by r-cran-robot on 2015-08-01 00:00:05.970136


Logo Armadillo library 5.200

by cu24gjf - June 25, 2015, 02:50:49 CET [ Project Homepage BibTeX Download ] 59454 views, 12246 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 ] 14397 views, 3101 downloads, 3 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 ] 12677 views, 2647 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

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