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
Learning with Fractional Orthogonal Kernel Classifiers in S..
Industrial and Applied Mathematics
Rad, Jamal Amani
;
Parand, Kourosh
;
Chakraverty, Snehashish
- 1st ed. 2023 . , 2023
Link:
https://doi.org/10.1007/978-981-19-6553-1
RT T1
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications
UL https://suche.suub.uni-bremen.de/peid=springer-978-981-19-6553-1&Exemplar=1&LAN=DE A1 Rad, Jamal Amani A1 Parand, Kourosh A1 Chakraverty, Snehashish NO 1st ed. 2023 PB Springer Nature Singapore YR 2023 NO 1 Online-Ressource (305 S.) T3 Industrial and Applied Mathematics SN 9789811965531 SN 9789811965524 SN 9789811965548 SN 9789811965555 K1 Algebraic fields K1 Polynomials K1 Mathematical optimization K1 Quantitative research K1 Machine learning K1 Pattern recognition systems K1 Python (Computer program language) K1 Field Theory and Polynomials K1 Optimization K1 Data Analysis and Big Data K1 Machine Learning K1 Automated Pattern Recognition K1 Python LK http://dx.doi.org/https://doi.org/10.1007/978-981-19-6553-1 DO https://doi.org/10.1007/978-981-19-6553-1 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)