Kazan Federal University Digital Repository

TRANSDUCTION LEARNING IN QSAR: AN EFFICIENT WAY TO BUILD THE MODELS ON SMALL DATA SETS

Show simple item record

dc.contributor Казанский (Приволжский) федеральный университет
dc.contributor.author Marcou G. ru_RU
dc.contributor.author Delouis G. ru_RU
dc.contributor.author Horvath D. ru_RU
dc.contributor.author Varnek A. ru_RU
dc.date.accessioned 2017-10-06T13:10:04Z
dc.date.available 2017-10-06T13:10:04Z
dc.date.issued 2017
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/116679
dc.relation.ispartofseries III Международная летняя школа-конференция по хемоинформатике (Казань, 5-7 июля 2017 г.) ru_RU
dc.title TRANSDUCTION LEARNING IN QSAR: AN EFFICIENT WAY TO BUILD THE MODELS ON SMALL DATA SETS ru_RU
dc.type article
dc.identifier.udk 544.142.3-6:548.3:544.022.5:544.147+544.135
dc.description.pages 22-22


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics