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
Unsupervised Ranking using Graph Structures and Node Attrib..:
, In:
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
,
Hsu, Chin-Chi
;
Lai, Yi-An
;
Chen, Wen-Hao
.. - p. 771-779 , 2017
Link:
https://dl.acm.org/doi/10.1145/3018661.3018668
RT T1 <cTitle>Proceedings of the Tenth ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Unsupervised Ranking using Graph Structures and Node Attributes</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3018668&Exemplar=1&LAN=DE A1 Hsu, Chin-Chi A1 Lai, Yi-An A1 Chen, Wen-Hao A1 Feng, Ming-Han A1 Lin, Shou-De PB ACM YR 2017 K1 node ranking K1 pagerank K1 unsupervised learning K1 Theory of computation K1 Randomness, geometry and discrete structures K1 Random walks and Markov chains K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Theory and algorithms for application domains K1 Machine learning theory K1 Unsupervised learning and clustering SP 771 OP 779 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3018661.3018668 DO https://dl.acm.org/doi/10.1145/3018661.3018668 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
