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University of Paderborn
- Paderborn, Germany
- in/mozart-louis
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A high-performance, disk-based RDF graph database enabling graph analytics that were deemed computationally infeasible.
This repo shows the implementation of DeCal where we consider the embeddings in Cl_pqr Clifford algebras.
This work is a collaborative work between the University of Paderborn and the University of Bielefeld
The main repository has been consistently changed in order to add reasoners inside concept learners
We show in this repository how to represent good quality embeddings using simple functions.
OWL Class Expressions Learning in Python with incomplete or inconsistent Knowledge Bases
Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the…