PUB - Publikationen an der Universität Bielefeld

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• [11]
  

  2016 | Preprint | Veröffentlicht | PUB-ID: 2901439

  Fischer, L.; 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.; Wersing, H. (2016): Online Metric Learning for an Adaptation to Confidence Drift. In: Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE. S. 748-755.

  PUB
   
• [9]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193

  Fischer, L.; Hammer, B.; Wersing, H. (2016): Optimal local rejection for classifiers Neurocomputing,214: 445-457.

  PUB | DOI | WoS
   
• [8]
  

  2016 | Bielefelder E-Dissertation | PUB-ID: 2906747

  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.; Wersing, H. (2015): Optimum Reject Options for Prototype-based Classification

  PUB | arXiv
   
• [6]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707

  Fischer, L.; Hammer, B.; 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. S. 7-12.

  PUB
   
• [5]
  

  2015 | Konferenzbeitrag | PUB-ID: 2774721

  Fischer, L.; Hammer, B.; Wersing, H. (2015): Combining Offline and Online Classifiers for Life-long Learning. In: IJCNN, International Joint Conference on Neural Networks. S. 2808-2815.

  PUB
   
• [4]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413

  Fischer, L.; Hammer, B.; Wersing, H. (2015): Efficient rejection strategies for prototype-based classification Neurocomputing,169:(SI): 334-342.

  PUB | DOI | WoS
   
• [3]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643

  Fischer, L.; Nebel, D.; Villmann, T.; Hammer, B.; Wersing, H. (2014): Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. In: Thomas Villmann; Frank-Michael Schleif; Marika Kaden; Mandy Lange (Hrsg.): Advances in Self-Organizing Maps and Learning Vector Quantization. Cham: Springer International Publishing. (Advances in Intelligent Systems and Computing, 295). S. 109-118.

  PUB | DOI
   
• [2]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548

  Fischer, L.; Hammer, B.; Wersing, H. (2014): Rejection strategies for learning vector quantization. In: Michel Verleysen (Hrsg.): ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium: i6doc.com. S. 41-46.

  PUB
   
• [1]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498

  Fischer, L.; Hammer, B.; Wersing, H. (2014): Local Rejection Strategies for Learning Vector Quantization. In: Stefan Wermter; Cornelius Weber; Włodzisław Duch; Timo Honkela; Petia Koprinkova-Hristova; Sven Magg; Günther Palm; Alessandro E. P. Villa (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2014. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 8681). S. 563-570.

  PUB | DOI