Tobias Reitmaier
Tobias Reitmaier
Department of Intelligent Embedded Systems, University of Kassel
Vahvistettu sähköpostiosoite verkkotunnuksessa uni-kassel.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Transductive active learning–a new semi-supervised learning approach based on iteratively refined generative models to capture structure in data
T Reitmaier, A Calma, B Sick
Information Sciences 293, 275-298, 2015
402015
Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS
T Reitmaier, B Sick
Information Sciences 230, 106-131, 2013
402013
From active learning to dedicated collaborative interactive learning
A Calma, JM Leimeister, P Lukowicz, S Oeste-Reiß, T Reitmaier, ...
ARCS 2016; 29th International Conference on Architecture of Computing …, 2016
312016
The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification
T Reitmaier, B Sick
Information Sciences 323, 179-198, 2015
312015
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data
A Calma, T Reitmaier, B Sick
Information Sciences 456, 13-33, 2018
192018
Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments–Opportunistic Collaborative Interactive Learning
G Bahle, A Calma, JM Leimeister, P Lukowicz, S Oeste-Reiß, T Reitmaier, ...
182016
Processing short-term and long-term information with a combination of polynomial approximation techniques and time-delay neural networks
E Fuchs, C Gruber, T Reitmaier, B Sick
IEEE Transactions on Neural Networks 20 (9), 1450-1462, 2009
172009
Active classifier training with the 3DS strategy
T Reitmaier, B Sick
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 88-95, 2011
112011
Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen
T Reitmaier
Ausgezeichnete Informatikdissertationen 2015 16 (2015), 239--248, 2016
72016
Resp-knn: A semi-supervised classifier for sparsely labeled data in the field of organic computing
T Reitmaier, A Calma
Organic Computing: Doctoral Dissertation Colloquium, 85-99, 2014
52014
A new vision of collaborative active learning
A Calma, T Reitmaier, B Sick, P Lukowicz, M Embrechts
arXiv preprint arXiv:1504.00284, 2015
42015
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data
A Calma, T Reitmaier, B Sick
2016 International Joint Conference on Neural Networks (IJCNN), 4040-4047, 2016
2016
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Artikkelit 1–12