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uamds-core from group com.github.hageldave.uamds (version 0.1.0)

Java implementation of Uncertainty-Aware Multidimensional Scaling (UAMDS). UAMDS is a dimensionality reduction algorithm for sets of multivariate normal distributions. (Related publication DOI: 10.1109/TVCG.2022.3209420)

Group: com.github.hageldave.uamds Artifact: uamds-core
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Artifact uamds-core
Group com.github.hageldave.uamds
Version 0.1.0
Last update 16. March 2023
Organization not specified
URL https://github.com/hageldave/uamds
License The MIT License (MIT)
Dependencies amount 1
Dependencies optisled,
There are maybe transitive dependencies!

ordinalClassClassifier from group nz.ac.waikato.cms.weka (version 1.0.5)

Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: A Simple Approach to Ordinal Classification. In: 12th European Conference on Machine Learning, 145-156, 2001. Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, Janos A. Csirik: Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. In: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), 546-553, 2002.

Group: nz.ac.waikato.cms.weka Artifact: ordinalClassClassifier
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1 downloads
Artifact ordinalClassClassifier
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 06. December 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ordinalClassClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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