Thanks for sharing this paper.
Positively brilliant! I think this is in-line with quantum thinking and
holds great promise for quantum computing. It relates to a concept advanced
by myself and my mentor, namely, gestalt management. Penultimately, we
endeavor to most-correctly represent relativisti
James,
The Hamiltonian paper was nice for identifying gap filler tasks as
decoupling meaning from pattern: "not a category based on the features
of the members of the category, let alone the similarity of such
features".
Here, for anyone else:
A logical re-conception of neural networks: Hamilton
Symbolic Regression is starting to catch on but, as usual, people aren't
using the Algorithmic Information Criterion so they end up with
unprincipled choices on the Pareto frontier between residuals and model
complexity if not unprincipled choices about how to weight the complexity
of various "node
