Tobias Reitmaier

According to our database, Tobias Reitmaier authored at least 11 papers between 2009 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data.

Adrian Calma, Tobias Reitmaier, Bernhard Sick

Inf. Sci., 2018

2016

Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data.

Adrian Calma, Tobias Reitmaier, Bernhard Sick

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning.

Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015

Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen.

Tobias Reitmaier

PhD thesis, 2015

The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification.

Tobias Reitmaier, Bernhard Sick

Inf. Sci., 2015

Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data.

Tobias Reitmaier, Adrian Calma, Bernhard Sick

Inf. Sci., 2015

A New Vision of Collaborative Active Learning.

Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz

CoRR, 2015

Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen.

Tobias Reitmaier

Proceedings of the Ausgezeichnete Informatikdissertationen 2015, 2015

2013

Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS.

Tobias Reitmaier, Bernhard Sick

Inf. Sci., 2013

2011

Active classifier training with the 3DS strategy.

Tobias Reitmaier, Bernhard Sick

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2009

Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks.

Erich Fuchs, Christian Gruber, Tobias Reitmaier, Bernhard Sick

IEEE Trans. Neural Networks, 2009