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: 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. 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. 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: Advances in Self-Organizing Maps and Learning Vector Quantization. Villmann T, Schleif F-M, Kaden M, Lange M (Eds); Advances in Intelligent Systems and Computing, 295. Cham: Springer International Publishing: 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: 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, 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, Villa AEP (Eds); Lecture Notes in Computer Science, 8681. Cham: Springer International Publishing: 563-570.

  PUB | DOI