Combinatorial refinement of feature weighting for linear classification

H. Dörksen, V. Lohweg, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014.

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Konferenz - Beitrag | Veröffentlicht | Englisch
Abstract / Bemerkung
We present a new approach for linear classification optimisation based on Combinatorial Refinement (ComRef) of feature weighting for cognitive signal processing in resource-limited hardware and software like in Cyber-physical systems. Despite simple construction, the approach is able to connect advantages of dimensionality reduction methods and such like combining multiple classifiers resp. Bag-of-classifiers-approaches and leads to a good generalisation ability even by use of small feature sets. Regarding generalisation ability, we benchmark the performance of ComRef on several datasets from the UCI repository. Furthermore, for an industrial dataset Motor Drive Diagnosis we show the advantage of ComRef which uses Support-Vector-Machines (SVM). In this application scenario, a trustful classifier is essential, since a small number of mis-classifications could lead to motor damages.
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Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)
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Dörksen H, Lohweg V. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE; 2014. doi:10.1109/ETFA.2014.7005106
Dörksen, H., & Lohweg, V. (2014). Combinatorial refinement of feature weighting for linear classification. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE. https://doi.org/10.1109/ETFA.2014.7005106
Dörksen H and Lohweg V (2014) Combinatorial Refinement of Feature Weighting for Linear Classification. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE.
Dörksen, Helene, and Volker Lohweg. “Combinatorial Refinement of Feature Weighting for Linear Classification.” In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE, 2014. https://doi.org/10.1109/ETFA.2014.7005106.
Dörksen, Helene und Volker Lohweg. 2014. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE. doi:10.1109/ETFA.2014.7005106, .
Dörksen, Helene ; Lohweg, Volker: Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) : IEEE, 2014
H. Dörksen, V. Lohweg, Combinatorial refinement of feature weighting for linear classification, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014.
H. Dörksen and V. Lohweg, “Combinatorial refinement of feature weighting for linear classification,” in Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014.
Dörksen, Helene, and Volker Lohweg. “Combinatorial Refinement of Feature Weighting for Linear Classification.” Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014, doi:10.1109/ETFA.2014.7005106.
Dörksen, Helene/Lohweg, Volker (2014): Combinatorial refinement of feature weighting for linear classification, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).
Dörksen H, Lohweg V. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE; 2014.

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