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Logo jackstraw 1.0

by nc - February 1, 2014, 22:53:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1130 views, 234 downloads, 1 subscription

About: Estimates statistical significance of association between variables and their principal components (PCs).

Changes:

Initial Announcement on mloss.org.


Logo AlCoCoMa 1.0

by kiraly - November 8, 2013, 09:38:07 CET [ BibTeX BibTeX for corresponding Paper Download ] 1108 views, 271 downloads, 1 subscription

About: ALgebraic COmbinatorial COmpletion of MAtrices. A collection of algorithms to impute or denoise single entries in an incomplete rank one matrix, to determine for which entries this is possible with any algorithm, and to provide algorithm-independent error estimates. Includes demo scripts.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-longRPart 1.0

by r-cran-robot - March 7, 2008, 00:00:00 CET [ Project Homepage BibTeX Download ] 1105 views, 180 downloads, 0 subscriptions

About: Recursive partitioning of longitudinal data using mixed-effects models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.201307


Logo minFunc 2012

by markSchmidt - December 18, 2013, 01:07:07 CET [ Project Homepage BibTeX Download ] 1103 views, 245 downloads, 1 subscription

About: minFunc is a Matlab function for unconstrained optimization of differentiable real-valued multivariate functions using line-search methods. It uses an interface very similar to the Matlab Optimization Toolbox function fminunc, and can be called as a replacement for this function. On many problems, minFunc requires fewer function evaluations to converge than fminunc (or minimize.m). Further it can optimize problems with a much larger number of variables (fminunc is restricted to several thousand variables), and uses a line search that is robust to several common function pathologies.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-obliqueRF 0.2

by r-cran-robot - September 7, 2011, 00:00:00 CET [ Project Homepage BibTeX Download ] 1100 views, 210 downloads, 0 subscriptions

About: Oblique Random Forests from Recursive Linear Model Splits

Changes:

Fetched by r-cran-robot on 2012-08-01 00:00:07.607823


Logo Calculate Normalized Information Measures 1.0.0

by openpr_nlpr - December 2, 2011, 04:35:32 CET [ Project Homepage BibTeX Download ] 1098 views, 320 downloads, 1 subscription

About: The toolbox is to calculate normalized information measures from a given m by (m+1) confusion matrix for objective evaluations of an abstaining classifier. It includes total 24 normalized information measures based on three groups of definitions, that is, mutual information, information divergence, and cross entropy.

Changes:

Initial Announcement on mloss.org.


Logo Implementation of the DMV and CCM Parsers 0.2.0

by francolq - September 24, 2013, 07:06:46 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1096 views, 243 downloads, 1 subscription

About: This package includes implementations of the CCM, DMV and DMV+CCM parsers from Klein and Manning (2004), and code for testing them with the WSJ, Negra and Cast3LB corpuses (English, German and Spanish respectively). A detailed description of the parsers can be found in Klein (2005).

Changes:

Initial Announcement on mloss.org.


Logo Layer Based Dependency Parser 1.0.0

by openpr_nlpr - December 2, 2011, 04:51:23 CET [ Project Homepage BibTeX Download ] 1095 views, 350 downloads, 1 subscription

About: LDPar is an efficient data-driven dependency parser. You can train your own parsing model on treebank data and parse new data using the induced model.

Changes:

Initial Announcement on mloss.org.


Logo Evaluation toolkit 1.0

by openpr_nlpr - August 13, 2013, 08:58:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1089 views, 217 downloads, 1 subscription

About: This evaluation toolkit provides a unified framework for evaluating bag-of-words based encoding methods over several standard image classification datasets.

Changes:

Initial Announcement on mloss.org.


Logo DRVQ 1.0.1-beta

by iavr - January 18, 2014, 17:26:34 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1064 views, 264 downloads, 1 subscription

About: DRVQ is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions. It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter being not very precise but extremely fast.

Changes:

Initial Announcement on mloss.org.


Showing Items 491-500 of 543 on page 50 of 55: First Previous 45 46 47 48 49 50 51 52 53 54 55 Next