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Showing Items 161-170 of 638 on page 17 of 64: First Previous 12 13 14 15 16 17 18 19 20 21 22 Next Last

About: Infrastructure for representing, manipulating and analyzing transaction data and frequent patterns.

Changes:

Initial Announcement on mloss.org.


About: This local and parallel computation toolbox is the Octave and Matlab implementation of several localized Gaussian process regression methods: the domain decomposition method (Park et al., 2011, DDM), partial independent conditional (Snelson and Ghahramani, 2007, PIC), localized probabilistic regression (Urtasun and Darrell, 2008, LPR), and bagging for Gaussian process regression (Chen and Ren, 2009, BGP). Most of the localized regression methods can be applied for general machine learning problems although DDM is only applicable for spatial datasets. In addition, the GPLP provides two parallel computation versions of the domain decomposition method. The easiness of being parallelized is one of the advantages of the localized regression, and the two parallel implementations will provide a good guidance about how to materialize this advantage as software.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-LogicReg 1.5.3

by r-cran-robot - July 23, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 11181 views, 2131 downloads, 0 subscriptions

About: Logic Regression

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.139495


Logo r-cran-ElemStatLearn 2015.6.26

by r-cran-robot - June 26, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 11178 views, 2359 downloads, 3 subscriptions

About: Data Sets, Functions and Examples from the Book

Changes:

Fetched by r-cran-robot on 2017-04-01 00:00:04.989432


About: Nowadays this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use a stack of Restricted Boltzmann Machines (RBM) to create a powerful generative model using training data. DBNs have many abilities such as feature extraction and classification that are used in many applications including image processing, speech processing, text categorization, etc. This paper introduces a new object oriented toolbox with the most important abilities needed for the implementation of DBNs. According to the results of the experiments conducted on the MNIST (image), ISOLET (speech), and the 20 Newsgroups (text) datasets, it was shown that the toolbox can learn automatically a good representation of the input from unlabeled data with better discrimination between different classes. Also on all the aforementioned datasets, the obtained classification errors are comparable to those of the state of the art classifiers. In addition, the toolbox supports different sampling methods (e.g. Gibbs, CD, PCD and our new FEPCD method), different sparsity methods (quadratic, rate distortion and our new normal method), different RBM types (generative and discriminative), GPU based, etc. The toolbox is a user-friendly open source software in MATLAB and Octave and is freely available on the website.

Changes:

New in toolbox

  • Using GPU in Backpropagation
  • Revision of some demo scripts
  • Function approximation with multiple outputs
  • Feature extraction with GRBM in first layer

cardinal


Logo RLS2 MATLAB Toolbox 0.7

by posaune - March 31, 2010, 20:37:11 CET [ Project Homepage BibTeX Download ] 11162 views, 2301 downloads, 1 subscription

About: RLS2 is an instance of multiple kernel learning algorithm to simultaneously learn a regularized predictor and the kernel function. RLS2LIN is a version of RLS2 specialized to linear kernels on each feature. The package contains a set of scripts that implements RLS2 and RLS2LIN, together with a Graphic User Interface to load data, perform training, validation, and plot results.

Changes:
  • New kernel functions (rbfall, rbfsingle, polyall, polysingle)
  • Improved interface for pre-processing operations
  • The interface now allows to disable bias
  • Fixed bugs in parameter passing (thanks to Andrea Schirru)

Logo r-cran-mvpart 1.6-0

by r-cran-robot - February 19, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 11053 views, 2229 downloads, 1 subscription

About: Multivariate partitioning

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.387032


Logo r-cran-ahaz 1.14

by r-cran-robot - June 3, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 10938 views, 2321 downloads, 0 subscriptions

About: Regularization for semiparametric additive hazards regression

Changes:

Fetched by r-cran-robot on 2017-04-01 00:00:02.176344


Logo Easysvm 0.3

by gxr - June 25, 2009, 18:33:04 CET [ Project Homepage BibTeX Download ] 10813 views, 2170 downloads, 1 subscription

About: The Easysvm package provides a set of tools based on the Shogun toolbox allowing to train and test SVMs in a simple way.

Changes:

Fixes for shogun 0.7.3.


Logo r-cran-BayesTree 0.3-1.4

by r-cran-robot - February 21, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 10733 views, 2424 downloads, 1 subscription

About: Bayesian Additive Regression Trees

Changes:

Fetched by r-cran-robot on 2017-04-01 00:00:03.407355


Showing Items 161-170 of 638 on page 17 of 64: First Previous 12 13 14 15 16 17 18 19 20 21 22 Next Last