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
Approximate maximum margin algorithms with rules controlled..:
, In:
Proceedings of the 24th international conference on Machine learning
,
Tsampouka, Petroula
;
Shawe-Taylor, John
- p. 903-910 , 2007
Link:
https://dl.acm.org/doi/10.1145/1273496.1273610
RT T1
Proceedings of the 24th international conference on Machine learning
: T1
Approximate maximum margin algorithms with rules controlled by the number of mistakes
UL https://suche.suub.uni-bremen.de/peid=acm-1273610&Exemplar=1&LAN=DE A1 Tsampouka, Petroula A1 Shawe-Taylor, John PB ACM YR 2007 K1 Theory of computation K1 Design and analysis of algorithms K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 903 OP 910 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1273496.1273610 DO https://dl.acm.org/doi/10.1145/1273496.1273610 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)