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radial-encapsulation-maven-plugin from group com.mobilepetroleum.radialencapsulation (version 1.0.0)

Group: com.mobilepetroleum.radialencapsulation Artifact: radial-encapsulation-maven-plugin
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Download radial-encapsulation-maven-plugin.jar (1.0.0)
 

0 downloads

SteelSeries from group org.bidib.jbidib.eu.hansolo (version 3.9.31.2)

The SteelSeries is a javabeans component library that contains gauges. You will find linear and radial gauges. In addition you will also find digital displays, indicators from cars and some instruments from airplanes and sailboats.

Group: org.bidib.jbidib.eu.hansolo Artifact: SteelSeries
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101 downloads
Artifact SteelSeries
Group org.bidib.jbidib.eu.hansolo
Version 3.9.31.2
Last update 16. September 2019
Organization not specified
URL http://www.harmonic-code.org
License BSD license
Dependencies amount 1
Dependencies trident,
There are maybe transitive dependencies!

SteelSeries from group eu.hansolo (version 3.9.30)

The SteelSeries is a javabeans component library that contains gauges. You will find linear and radial gauges. In addition you will also find digital displays.

Group: eu.hansolo Artifact: SteelSeries
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Download SteelSeries.jar (3.9.30)
 

141 downloads
Artifact SteelSeries
Group eu.hansolo
Version 3.9.30
Last update 31. August 2012
Organization not specified
URL http://www.harmonic-code.org
License New BSD license
Dependencies amount 1
Dependencies trident,
There are maybe transitive dependencies!

RBFNetwork from group nz.ac.waikato.cms.weka (version 1.0.8)

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

Group: nz.ac.waikato.cms.weka Artifact: RBFNetwork
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Download RBFNetwork.jar (1.0.8)
 

11 downloads
Artifact RBFNetwork
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 16. January 2015
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/RBFNetwork
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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