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Books and Theses
- 2015
[b1]Tobias Reitmaier:
Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen. University of Kassel, Germany, 2015, pp. 1-238
Journal Articles
- 2018
- [j5]Adrian Calma, Tobias Reitmaier
, Bernhard Sick:
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Inf. Sci. 456: 13-33 (2018) - 2015
- [j4]Tobias Reitmaier, Adrian Calma, Bernhard Sick:
Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. Inf. Sci. 293: 275-298 (2015) - [j3]Tobias Reitmaier, Bernhard Sick:
The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification. Inf. Sci. 323: 179-198 (2015) - 2013
- [j2]Tobias Reitmaier, Bernhard Sick:
Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS. Inf. Sci. 230: 106-131 (2013) - 2009
- [j1]Erich Fuchs, Christian Gruber, Tobias Reitmaier, Bernhard Sick:
Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks. IEEE Trans. Neural Networks 20(9): 1450-1462 (2009)
Conference and Workshop Papers
- 2016
- [c3]Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig:
Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. ICAC 2016: 315-324 - [c2]Adrian Calma, Tobias Reitmaier, Bernhard Sick:
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. IJCNN 2016: 4040-4047 - 2011
- [c1]Tobias Reitmaier, Bernhard Sick:
Active classifier training with the 3DS strategy. CIDM 2011: 88-95
Parts in Books or Collections
- 2015
- [p1]Tobias Reitmaier:
Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen. Ausgezeichnete Informatikdissertationen 2015: 239-248
Informal and Other Publications
- 2016
- [i3]Tobias Reitmaier, Adrian Calma, Bernhard Sick:
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. CoRR abs/1610.03995 (2016) - 2015
- [i2]Tobias Reitmaier, Bernhard Sick:
The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification. CoRR abs/1502.04033 (2015) - [i1]Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz:
A New Vision of Collaborative Active Learning. CoRR abs/1504.00284 (2015)
Coauthor Index
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