11 Publikationen
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2016 | Preprint | Veröffentlicht | PUB-ID: 2901439Fischer, Lydia, and Villmann, Thomas. 2016. “A Probabilistic Model with Adaptive Rejection”. Machine Learning Reports, MLR-01-2016:1-19.
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2016 | Konferenzbeitrag | PUB-ID: 2905195Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. 2016. “Online Metric Learning for an Adaptation to Confidence Drift”. In Proceedings of International Joint Conference on Neural Networks (IJCNN), 748-755. Vancouver: IEEE.
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. 2015. “Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation”. In ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 7-12.
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2015 | Konferenzbeitrag | PUB-ID: 2774721Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. 2015. “Combining Offline and Online Classifiers for Life-long Learning”. In IJCNN, International Joint Conference on Neural Networks, 2808-2815.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643Fischer, Lydia, Nebel, David, Villmann, Thomas, Hammer, Barbara, and Wersing, Heiko. 2014. “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches”. In Advances in Self-Organizing Maps and Learning Vector Quantization, ed. Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange, 295:109-118. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. 2014. “Rejection strategies for learning vector quantization”. In ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ed. Michel Verleysen, 41-46. Bruges, Belgium: i6doc.com.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. 2014. “Local Rejection Strategies for Learning Vector Quantization”. In Artificial Neural Networks and Machine Learning – ICANN 2014, ed. Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, and Alessandro E. P. Villa, 8681:563-570. Lecture Notes in Computer Science. Cham: Springer International Publishing.