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Showing Items 381-390 of 536 on page 39 of 54: First Previous 34 35 36 37 38 39 40 41 42 43 44 Next Last

Logo python weka wrapper 0.1.8

by fracpete - June 26, 2014, 02:38:12 CET [ Project Homepage BibTeX Download ] 2649 views, 514 downloads, 2 subscriptions

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

Changes:
  • fixed installer: MANIFEST.in now includes CHANGES.rst and DESCRIPTION.rst as well

Logo Large margin filtering 0.9

by rflamary - February 18, 2012, 15:50:43 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2352 views, 503 downloads, 1 subscription

About: Matlab SVM toolbox for learning large margin filters in signal or images.

Changes:

Initial Announcement on mloss.org.


Logo treelearn 1

by iskander - September 21, 2011, 16:12:27 CET [ Project Homepage BibTeX Download ] 2127 views, 493 downloads, 1 subscription

About: A python implementation of Breiman's Random Forests.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-penalizedSVM 1.1

by r-cran-robot - August 2, 2010, 00:00:00 CET [ Project Homepage BibTeX Download ] 2408 views, 493 downloads, 0 subscriptions

About: Feature Selection SVM using penalty functions

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:07.509844


Logo OpenGM 2 2.0.2 beta

by opengm - June 1, 2012, 14:33:53 CET [ Project Homepage BibTeX Download ] 2223 views, 492 downloads, 1 subscription

About: A C++ Library for Discrete Graphical Models

Changes:

Initial Announcement on mloss.org.


About: In this paper, we propose an improved principal component analysis based on maximum entropy (MaxEnt) preservation, called MaxEnt-PCA, which is derived from a Parzen window estimation of Renyi’s quadratic entropy. Instead of minimizing the reconstruction error either based on L2-norm or L1-norm, the MaxEnt-PCA attempts to preserve as much as possible the uncertainty information of the data measured by entropy. The optimal solution of MaxEnt-PCA consists of the eigenvectors of a Laplacian probability matrix corresponding to the MaxEnt distribution. MaxEnt-PCA (1) is rotation invariant, (2) is free from any distribution assumption, and (3) is robust to outliers. Extensive experiments on real-world datasets demonstrate the effectiveness of the proposed linear method as compared to other related robust PCA methods.

Changes:

Initial Announcement on mloss.org.


Logo GradMC 2.00

by tur - April 14, 2014, 15:48:48 CET [ BibTeX Download ] 1402 views, 489 downloads, 1 subscription

About: GradMC is an algorithm for MR motion artifact removal implemented in Matlab

Changes:

Added support for multi-rigid motion correction.


Logo Graphical Models and Conditional Random Fields Toolbox 2

by jdomke - January 5, 2012, 15:38:20 CET [ Project Homepage BibTeX Download ] 2097 views, 489 downloads, 1 subscription

About: This is a Matlab/C++ "toolbox" of code for learning and inference with graphical models. It is focused on parameter learning using marginalization in the high-treewidth setting.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-rminer 1.3

by r-cran-robot - October 9, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 2366 views, 486 downloads, 0 subscriptions

About: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression.

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:08.226306


Logo r-cran-GMMBoost 1.0.3

by r-cran-robot - September 27, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 2609 views, 483 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


Showing Items 381-390 of 536 on page 39 of 54: First Previous 34 35 36 37 38 39 40 41 42 43 44 Next Last