notesum.ai

Published at October 23

The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification

cs.LG

cs.AI

Released Date: October 23, 2024

Authors: K. Darshana Abeyrathna¹, Sara El Mekkaoui¹, Andreas Hafver¹, Christian Agrell¹

Aff.: ¹DNV (Det Norske Veritas), Høvik, Norway

Arxiv: https://arxiv.org/abs/2410.17851v1

Refer to caption

Feedback Type			I				II
Clause Output			1		0		1		0
Literal Value			1	0	1	0	1	0	1	0
Current State	Include	Reward Probability	(s-1)/s	NA	0	0	0	NA	0	0
		Inaction Probability	1/s	NA	(s-1)/s	(s-1)/s	1	NA	1	1
		Penalty Probability	0	NA	1/s	1/s	0	NA	0	0
	Exclude	Reward Probability	0	1/s	1/s	1/s	0	0	0	0
		Inaction Probability	1/s	(s-1)/s	(s-1)/s	(s-1)/s	1	0	1	1
		Penalty Probability	(s-1)/s	0	0	0	0	1	0	0