Download JAR files tagged by 1109 with all dependencies

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)

This artifact provides the implementation of the "onward subsequential transducer inference algorithm" (OSTIA) learning algorithm as presented in the paper "Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks" (https://doi.org/10.1109/34.211465) by Jose Oncina, Pedro García, and Enrique Vidal.

This package provides data model and the base classes for the cartification. More info about cartification can be found in the paper "Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data" by Emin Aksehirli, Bart Goethals, Emmanuel Müller and Jilles Vreeken https://dx.doi.org/10.1109/ICDM.2013.146