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An approach for supervised, heterogeneous transfer learning via expectation maximization.

Adversarial attacks on tree-structured data based on the tree edit distance.

Reproducibility Evaluation of NeurIPS 2019 Paper "Composable Specification Language for ReinforcementLearning Tasks" by Kishor Jothimurugan, Rajeev Alur and Osber Bastani. Contains the results of our executed test runs and a jupyter notebook for viz.

A Python3 library for prototype- and distance-based machine learning models.

How animals acquire, process and combine information about the world to navigate accurately is a fundamental question in biology. A foraging buff-tailed bumblebee Bombus terrestris, for instance, will start its journey by leaving its nest situated

Reference implementation of Reservoir Memory Machines as proposed for the European Symposium on Artificial Neural Networks 2020.

This package provides modules of the iem use case for ml4proflow.

This package provides information fusion modules for ml4proflow.