Triple

T13267017

Position	Surface form	Disambiguated ID	Type / Status
Subject	Radford M. Neal	`E315948`	entity
Predicate	knownFor	`P22`	FINISHED
Object	Bayesian learning for neural networks Bayesian learning for neural networks is an approach that applies Bayesian inference to neural network models, treating their weights as probability distributions to improve uncertainty estimation and generalization.	`E1031257`	NE FINISHED

Provenance (5 batches)

Stage	Batch ID	Job type	Status
creating	`batch_69d806b1d9ac8190852c5571d5bd5f0f`	elicitation	completed
NER	`batch_69d9901e44bc8190966f87ae219d6bf4`	ner	completed
NED1	`batch_69f70a4cc20881909b1ca6623e5b1988`	ned_source_triple	completed
NED2	`batch_69f70ca343f08190b6484f464ed40810`	ned_description	completed
NEDg	`batch_69f70bc5111c8190ae5b098c806bb845`	nedg	completed

Created at: April 9, 2026, 9:25 p.m.