Theory of Optimal Learning Machines

Matteo Marsili from The Abdus Salam International Centre for Theoretical Physics with lecture titleTheory of Optimal Learning Machines is now publicy available.

By: marsimon / Feb. 18, 2020

Reviews and comments:

Comment1 Free Movies, February 23, 2020 at 5:20 p.m.:

Interesting theory, and reality read very little about it, however I understand that several scientists are studying it for their future thesis

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Comment4 Gary, March 16, 2020 at 6:31 a.m.:

So glad that the policy of the theory is not available.

Comment5 game, March 17, 2020 at 11:16 a.m.:

Optimal learning machines (OLM) are systems that extract maximally informative representation of the environment they are in contact with, or of the data they are presented.

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Comment7 patrickmoran, March 27, 2020 at 9:39 p.m.:

Optimal learning machines are systems which extract maximally informative representation of the environment with which they are in touch, or of the data presented. Exhibits a freezing phase transition for all of the network. The transformation is for discontinuous and it is for continuous.

Comment8 Danny, April 27, 2020 at 7:46 p.m.:

This Theory is very specific, I'm amazed! Thanks

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Comment10 Anonymous, May 4, 2020 at 5:23 p.m.:

So much appreciation to Matteo Marsili after learning this theory. This is indeed interesting in all angles.

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