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Number of items: 17.

Vogt, Michael (2013):
System identification techniques based on support vector machines without bias term.
In: System identification techniques based on support vector machines without bias term, Wiley Online Library, pp. 809-826, 27, (9), ISSN 1099-1115,
[Article]

Vogt, Michael (2008):
Support Vector Machines for Identification and Classification Problems in Control Engineering.
Düsseldorf, VDI-Verlag, TU Darmstadt, In: VDI Fortschrittsberichte, 8, ISBN 978-3-18-513808-9,
[Ph.D. Thesis]

Vogt, Michael and Moissl, Ulrich and Schaab, Jochen (2006):
Heart Rate Classification Using Support Vector Machines.
In: From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of The Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005. With ... 120 tables / Myra Spiliopoulou ... (eds)., Berlin ; Heidelberg [u.a.], Springer, pp. 716-723, [Online-Edition: http://dx.doi.org/10.1007/3-540-31314-1],
[Book Section]

Vogt, Michael and Moissl, U. and Schaab, J. (2006):
Heart rate classification using support vector machines.
In: From Data and Information Analysis to Knowledge Engineering, Springer, Berlin, pp. 716-723, [Article]

Schaab, Jochen and Münchhof, Marco and Vogt, Michael and Isermann, Rolf (2005):
Identification of a Hydraulic Servo-Axis Using Support Vector Machines.
In: 7th IFAC World Congress, Prag, 4.-8. Juli 2005, [Conference or Workshop Item]

Vogt, Michael and Kecman, V. (2005):
An Active-Set Algorithm for Support Vector Machines in Nonlinear System Identification.
Kidlington, Oxford, Elsevier, In: 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2004), Stuttgart, September 1-3, In: Nonlinear control systems 2004 : (NOLCOS 2004) ; a proceedings volume from the 6th IFAC symposium, Stuttgart, Germany, 1 - 3 September 2004 / ed. by F. Allgöwer, [Conference or Workshop Item]

Vogt, Michael and Kecman, Voijslav
Wang, Lipo (ed.) (2005):
Active-Set Methods for Support Vector Machines.
In: Support Vector Machines : Theory and Applications, Berlin [u.a.], Springer, pp. 133-158, [Online-Edition: http://dx.doi.org/10.1007/10984697_6],
[Book Section]

Kecman, Voijslav and Huang, Te-Ming and Vogt, Michael
Wang, Lipo (ed.) (2005):
Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance.
In: Support Vector Machines : Theory and Applications, Berlin [u.a.], Springer, pp. 255-274, [Online-Edition: http://dx.doi.org/10.1007/10984697_12],
[Book Section]

Fink, Alexander and Zimmerschied, Ralf and Vogt, Michael and Isermann, Rolf (2005):
Nonlinear System Identification with Local Linear Neuro-Fuzzy Models.
In: Intelligent Control Systems Using Computational Intelligence Techniques / ed. by A. E. Ruano, London, Institution of Electrical Engineers, pp. 153-175, [Book Section]

Vogt, Michael (2005):
Wechselwirkungen bei Planung und Bewertung zwischen Maßnahmen des Verkehrsmanagements und der Verkehrsinfrastruktur.
TU Darmstadt, [Online-Edition: https://www.verkehr.tu-darmstadt.de/media/verkehr/fgvv/beruf...],
[Seminar paper (Midterm)]

Vogt, Michael and Spreitzer, Karsten and Kecman, V. (2004):
Identification of a High Efficiency Boiler by Support Vector Machines without Bias Term.
Oxford, Elsevier, In: 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, Niederlande, 27.-29. August, In: SYSID, Symposium on System Identification: System identification ... proceedings / ed. by Paul M.J. van den Hof ...- Oxford: Elsevier, ISBN 0-08-043709-5, [Conference or Workshop Item]

Vogt, Michael and Müller, Norbert and Isermann, Rolf (2004):
On-line Adaptation of Grid-Based Look-Up Tables Using a Fast Linear Regression Technique.
In: Journal of Dynamic Systems, Measurement and Control, pp. 732-739, 126, (4), [Online-Edition: http://dx.doi.org/10.1115/1.1849241],
[Article]

Kecman, V. and Vogt, Michael and Huang, T. M. (2003):
On the Equality of Kernel AdaTron and Sequential Minimal Optimization in Classification and Regression Tasks and Alike Algorithms for Kernel Machines.
In: 11th European Symposium on Artificial Neural Networks (ESANN 2003), Bruges, Belgium, April 22-25, In: ESAAN, European Symposium on Artificial Neural Networks <11, 2003, Brügge>: Proceedings, [Conference or Workshop Item]

Vogt, Michael and Spreitzer, K. and Kecman, V. (2003):
Identification of a high efficiency boiler by support vector machines without bias term.
In: Proceedings of the 13th IFAC Symposium on System Identification (SYSID 2003), (17), [Article]

Vogt, Michael
Technische Universität Darmstadt (Corporate Creator) (2002):
SMO Algorithms for Support Vector Machines without Bias Term.
[Report]

Wolfram, A. and Vogt, Michael (2002):
Zeitdiskrete Filteralgorithmen zur Erzeugung zeitlicher Ableitungen (Discrete-Time Filter Algorithms for the Computation of Time-Derivatives).
In: at - Automatisierungstechnik, pp. 346-353, 50, (7_2002), ISSN 0178-2312,
[Online-Edition: http://dx.doi.org/10.1524/auto.2002.50.7.346],
[Article]

Moseler, Olaf and Vogt, Michael (2000):
FIT - Filtering and Identification Tool.
Elsevier, Amsterdam (u.a.), Elsevier, In: 12th IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, CA, USA, 21.-23. Juni, In: SYSID 2000: Proceedings of the 12th IFAC Symposium on Identification Systems, [Conference or Workshop Item]

This list was generated on Tue Jun 25 01:57:15 2019 CEST.