h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology

; ; ; ;

In
2018 IEEE Statistical Signal Processing Workshop (SSP) : 2018 IEEE Statistical Signal Processing Workshop (SSP) took place 10-13 June 2018 in Freiburg im Breisgau, Germany / SSP 2018 ; technical sponsors: IEEE, Signal Processing Society, EURASIP ; financial sponsors: Deutsche Forschungsgemeinschaft, Universität Paderborn

Konferenz/Event:IEEE Statistical Signal Processing Workshop , Freiburg , Germany , SSP , 2018-06-10 - 2018-06-13

ImpressumPiscataway, NJ : IEEE

ISBN978-1-5386-1570-6, 978-1-5386-1571-3, 978-1-5386-1572-0

Datenträger: USB-Stick

Online
DOI: 10.1109/SSP.2018.8450824


Einrichtungen

  1. Lehr- und Forschungsgebiet für Informationstheorie und Systematischer Entwurf von Kommunikationssystemen (617120)
  2. Lehr- und Forschungsgebiet Anästhesiologie Schwerpunkt Operative Intensivmedizin (533000-3)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
data medium, online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85053819576

Interne Identnummern
RWTH-2018-225888
Datensatz-ID: 728734

Beteiligte Länder
Brazil, Germany

 GO


QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Electrical Engineering and Information Technology (Fac.6)
Faculty of Medicine (Fac.10)
533000\-3
Public records
Publications database
617120

 Record created 2018-07-06, last modified 2026-02-17



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)