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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. 2018;298:122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
2018 | Datenpublikation | PUB-ID: 2919994
Paaßen B. (2018): Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University. doi:10.4119/unibi/2919994.
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2018 | Datenpublikation | PUB-ID: 2916990
Paaßen B. (2018): Median Generalized Learning Vector Quantization for Distance Data. Bielefeld University. 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, Krause A, eds. Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Proceedings of Machine Learning Research. Vol 80. 2018: 3973-3982.
PUB | Download (ext.) | arXiv
 
2017 | Datenpublikation | PUB-ID: 2912671
Paaßen B, Schulz A. (2017): Linear Supervised Transfer Learning Toolbox. Bielefeld University. doi:10.4119/unibi/2912671.
PUB | Dateien verfügbar | DOI
 
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224
Paaßen B, Mokbel B, Hammer B. Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing. 2016;192(SI):3-13.
PUB | PDF | DOI | WoS
 
2015 | Bielefelder E-Dissertation | PUB-ID: 2733228
Zhu X. Adaptive prototype-based dissimilarity learning. Bielefeld: Universitätsbibliothek 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. 2015;169(SI):295-305.
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.
PUB | PDF | DOI
 
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. Bruges, Belgium: i6doc.com; 2014: 265-270.
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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, et al., 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. Vol 8681. Springer; 2014: 571-578.
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. 2013;47(1-2):79-92.
PUB | DOI | WoS
 
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. 2012;26:159-173.
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. 2010;73(7-9):1117-1124.
PUB | DOI | WoS
 
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. 2010;73(7-9):1074-1092.
PUB | DOI | WoS
 
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. 2010;21(5):831-840.
PUB | DOI | WoS | PubMed | Europe PMC
 
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815
Denecke A, Wersing H, Steil JJ, Körner E. Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing. 2009;72(7-9):1470-1482.
PUB | DOI | WoS
 

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