Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces

7 Oct 2019Santiago Hernández-OrozcoHector ZenilJürgen RiedelAdam UccelloNarsis A. KianiJesper Tegnér

We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current research. We show that this new approach requires less training data and is more generalizable as it shows greater resilience to random attacks... (read more)

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