11 Publikationen

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  • [11]
    2016 | Preprint | Veröffentlicht | PUB-ID: 2901439
    Fischer, L., and Villmann, T. (2016). A Probabilistic Model with Adaptive Rejection. Machine Learning Reports, MLR-01-2016:1-19.
    PUB
     
  • [10]
    2016 | Konferenzbeitrag | PUB-ID: 2905195
    Fischer, L., Hammer, B., and Wersing, H. (2016). “Online Metric Learning for an Adaptation to Confidence Drift” in Proceedings of International Joint Conference on Neural Networks (IJCNN) (Vancouver: IEEE), 748-755.
    PUB
     
  • [9]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193
    Fischer, L., Hammer, B., and Wersing, H. (2016). Optimal local rejection for classifiers. Neurocomputing 214, 445-457.
    PUB | DOI | WoS
     
  • [8]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2906747 OA
    Fischer, L. (2016). Rejection and online learning with prototype-based classifiers in adaptive metrical spaces. Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [7]
    2015 | Preprint | PUB-ID: 2774656
    Fischer, L., Hammer, B., and Wersing, H. (2015). Optimum Reject Options for Prototype-based Classification.
    PUB | arXiv
     
  • [6]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707
    Fischer, L., Hammer, B., and Wersing, H. (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.
    PUB
     
  • [5]
    2015 | Konferenzbeitrag | PUB-ID: 2774721
    Fischer, L., Hammer, B., and Wersing, H. (2015). “Combining Offline and Online Classifiers for Life-long Learning” in IJCNN, International Joint Conference on Neural Networks 2808-2815.
    PUB
     
  • [4]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413
    Fischer, L., Hammer, B., and Wersing, H. (2015). Efficient rejection strategies for prototype-based classification. Neurocomputing 169, 334-342.
    PUB | DOI | WoS
     
  • [3]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643
    Fischer, L., Nebel, D., Villmann, T., Hammer, B., and Wersing, H. (2014). “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches” in Advances in Self-Organizing Maps and Learning Vector Quantization, Villmann, T., Schleif, F. - M., Kaden, M., and Lange, M. eds. Advances in Intelligent Systems and Computing, vol. 295, (Cham: Springer International Publishing), 109-118.
    PUB | DOI
     
  • [2]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548
    Fischer, L., Hammer, B., and Wersing, H. (2014). “Rejection strategies for learning vector quantization” in ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Verleysen, M. ed. (Bruges, Belgium: i6doc.com), 41-46.
    PUB
     
  • [1]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498
    Fischer, L., Hammer, B., and Wersing, H. (2014). “Local Rejection Strategies for Learning Vector Quantization” in Artificial Neural Networks and Machine Learning – ICANN 2014, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., and Villa, A. E. P. eds. Lecture Notes in Computer Science, vol. 8681, (Cham: Springer International Publishing), 563-570.
    PUB | DOI
     

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