Strategies for Parallelizing Supervised and Unsupervised Learning in Artificial Neural Networks Using the BSP Cost Model

Simple item page
dc.contributor.authorRogers, R.O.
dc.contributor.authorSkillicorn, D.B.
dc.date.accessioned2024-04-23T13:25:44Z
dc.date.available2024-04-23T13:25:44Z
dc.date.issued1997-09
dc.identifier.urihttps://hdl.handle.net/1974/32894
dc.language.isoen
dc.publisherQueen's University Department of Computing & Information Science
dc.relation.ispartofseries97-406
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleStrategies for Parallelizing Supervised and Unsupervised Learning in Artificial Neural Networks Using the BSP Cost Model
dc.typetechnical report

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
1997-406.pdf
Size:
163.58 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
3.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

School of Computing Technical Report Series