I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Effective multi-label active learning for text classificati..:
, In:
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
,
Yang, Bishan
;
Sun, Jian-Tao
;
Wang, Tengjiao
. - p. 917-926 , 2009
Link:
https://dl.acm.org/doi/10.1145/1557019.1557119
RT T1
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
: T1
Effective multi-label active learning for text classification
UL https://suche.suub.uni-bremen.de/peid=acm-1557119&Exemplar=1&LAN=DE A1 Yang, Bishan A1 Sun, Jian-Tao A1 Wang, Tengjiao A1 Chen, Zheng PB ACM YR 2009 K1 active learning K1 multi-label classification K1 support vector machines K1 text classification K1 Information systems K1 Information retrieval K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Machine learning approaches K1 Classification and regression trees SP 917 OP 926 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1557019.1557119 DO https://dl.acm.org/doi/10.1145/1557019.1557119 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)