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17 Publikationen

2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Paaßen, B., Schulz, A., Hahne, J., Hammer, B.: Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing. 298, 122-133 (2018).
PUB | DOI | Download (ext.) | WoS | arXiv
 
2018 | Datenpublikation | PUB-ID: 2919994
Paaßen, B.: Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University (2018). doi:10.4119/unibi/2919994.
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2018 | Datenpublikation | PUB-ID: 2916990
Paaßen, B.: Median Generalized Learning Vector Quantization for Distance Data. Bielefeld University (2018). doi:10.4119/unibi/2916990.
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844
Paaßen, B., Gallicchio, C., Micheli, A., Hammer, B.: Tree Edit Distance Learning via Adaptive Symbol Embeddings. In: Dy, J. and Krause, A. (eds.) Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Proceedings of Machine Learning Research. 80, p. 3973-3982. (2018).
PUB | Download (ext.) | arXiv
 
2017 | Datenpublikation | PUB-ID: 2912671
Paaßen, B., Schulz, A.: Linear Supervised Transfer Learning Toolbox. Bielefeld University (2017). doi:10.4119/unibi/2912671.
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224
Paaßen, B., Mokbel, B., Hammer, B.: Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing. 192, 3-13 (2016).
PUB | PDF | DOI | WoS
 
2015 | Bielefelder E-Dissertation | PUB-ID: 2733228
Zhu, X.: Adaptive prototype-based dissimilarity learning. Universitätsbibliothek Bielefeld, Bielefeld (2015).
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772407
Nebel, D., Hammer, B., Frohberg, K., Villmann, T.: Median variants of learning vector quantization for learning of dissimilarity data. Neurocomputing. 169, 295-305 (2015).
PUB | DOI | WoS
 
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021
Losing, V., Hammer, B., Wersing, H.: Interactive Online Learning for Obstacle Classification on a Mobile Robot. Presented at the International Joint Conference on Neural Networks, Killarney, Ireland (2015).
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554
Mokbel, B., Paaßen, B., Hammer, B.: Adaptive distance measures for sequential data. In: Verleysen, M. (ed.) ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 265-270. i6doc.com, Bruges, Belgium (2014).
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067
Mokbel, B., Paaßen, B., Hammer, B.: Efficient Adaptation of Structure Metrics in Prototype-Based Classification. In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., and Villa, A. (eds.) Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science. 8681, p. 571-578. Springer (2014).
PUB | PDF | DOI | Download (ext.)
 
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2622151
Giotis, I., Bunte, K., Petkov, N., Biehl, M.: Adaptive Matrices and Filters for Color Texture Classification. Journal Of Mathematical Imaging And Vision. 47, 79-92 (2013).
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405
Bunte, K., Schneider, P., Hammer, B., Schleif, F.-M., Villmann, T., Biehl, M.: Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks. 26, 159-173 (2012).
PUB | DOI | WoS | PubMed | Europe PMC
 
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1796195
Schneider, P., Biehl, M., Hammer, B.: Hyperparameter learning in probabilistic prototype-based models. Neurocomputing. 73, 1117-1124 (2010).
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1796189
Bunte, K., Hammer, B., Wismueller, A., Biehl, M.: Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing. 73, 1074-1092 (2010).
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1795962
Schneider, P., Bunte, K., Stiekema, H., Hammer, B., Villmann, T., Biehl, M.: Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks. 21, 831-840 (2010).
PUB | DOI | WoS | PubMed | Europe PMC
 
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815
Denecke, A., Wersing, H., Steil, J.J., Körner, E.: Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing. 72, 1470-1482 (2009).
PUB | DOI | WoS
 

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