PUB - Publikationen an der Universität Bielefeld

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• [11]
  

  2016 | Preprint | Veröffentlicht | PUB-ID: 2901439

  Fischer, Lydia, and Villmann, Thomas. “A Probabilistic Model with Adaptive Rejection”. Machine Learning Reports, MLR-01-2016:1-19 (2016).

  PUB
   
• [10]
  

  2016 | Konferenzbeitrag | PUB-ID: 2905195

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Online Metric Learning for an Adaptation to Confidence Drift”. Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE, 2016. 748-755.

  PUB
   
• [9]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Optimal local rejection for classifiers”. Neurocomputing 214 (2016): 445-457.

  PUB | DOI | WoS
   
• [8]
  

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

  Fischer, Lydia. Rejection and online learning with prototype-based classifiers in adaptive metrical spaces. Bielefeld: Universität Bielefeld, 2016.

  PUB | PDF
   
• [7]
  

  2015 | Preprint | PUB-ID: 2774656

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Optimum Reject Options for Prototype-based Classification”. (2015).

  PUB | arXiv
   
• [6]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation”. ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 2015. 7-12.

  PUB
   
• [5]
  

  2015 | Konferenzbeitrag | PUB-ID: 2774721

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Combining Offline and Online Classifiers for Life-long Learning”. IJCNN, International Joint Conference on Neural Networks. 2015. 2808-2815.

  PUB
   
• [4]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Efficient rejection strategies for prototype-based classification”. Neurocomputing 169.SI (2015): 334-342.

  PUB | DOI | WoS
   
• [3]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643

  Fischer, Lydia, Nebel, David, Villmann, Thomas, Hammer, Barbara, and Wersing, Heiko. “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches”. Advances in Self-Organizing Maps and Learning Vector Quantization. Ed. Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange. Cham: Springer International Publishing, 2014.Vol. 295. Advances in Intelligent Systems and Computing. 109-118.

  PUB | DOI
   
• [2]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Rejection strategies for learning vector quantization”. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ed. Michel Verleysen. Bruges, Belgium: i6doc.com, 2014. 41-46.

  PUB
   
• [1]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498

  Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Local Rejection Strategies for Learning Vector Quantization”. 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. Cham: Springer International Publishing, 2014.Vol. 8681. Lecture Notes in Computer Science. 563-570.

  PUB | DOI