/sci/ - Science & Math » Thread #14225734

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Tsetlin

Anonymous Sun 13 Feb 19:58:55 2022 No.14225734 View Reply Original Report

Quoted By: >>14225743 >>14225859

The creator of this "new" machine claims that you could replace blackbox models with pure human readable rules
https://tsetlinmachine.org/

Anonymous

Anonymous Sun 13 Feb 2022 20:02:53 No.14225743 Report

Quoted By: >>14225755

>>14225734
A set of human-readable rules for any non-trivial real-world classification would be either too complex to be humanly-comprehensible, or based on concepts internal to the system, with no way to deduce a mapping to human concepts.

Anonymous

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Anonymous Sun 13 Feb 2022 20:08:23 No.14225755 Report

Quoted By: >>14225770

>>14225743
>with no way to deduce a mapping to human concepts.
that's one of the first issues I though BUT, even check pic-related one could get an idea of what features could fine tune at hand https://arxiv.org/pdf/2105.14506.pdf

Anonymous

Anonymous Sun 13 Feb 2022 20:12:43 No.14225770 Report

Quoted By: >>14225789 >>14225859

>>14225755
What am I seeing?

Anonymous

Anonymous Sun 13 Feb 2022 20:18:08 No.14225789 Report

Quoted By: >>14225803

>>14225770
>What am I seeing?
Its an example of how Tsetlin learns to segment at pixel level an imagen given a class, the patches represents the activation or heatmap of the classifier as you see there are pure ands operations so you could remove or add rules to see how it behaves. Instead of play with training and samples like happens with deep neural models.

Anonymous

Anonymous Sun 13 Feb 2022 20:23:07 No.14225803 Report

Quoted By:

>>14225789
I don't understand what determine's that net's concept of a ship from that picture, at least not on any high level. Maybe I'm misunderstanding something.

Anonymous

Anonymous Sun 13 Feb 2022 20:39:33 No.14225859 Report

Quoted By:

>>14225734

I dunno, that looks kinda fake to me.

>>14225770
neural network decision trees

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