Prof. Dr. rer. nat. Markus Schneider
| Telefon | |
|---|---|
| markus.schneider@rwu.de | |
| Raum | E 112 |
| Besuchsadresse |
Gebäude E
Leibnizstr. 15
88250 Weingarten |
| Postadresse |
RWU Hochschule Ravensburg-Weingarten University of Applied Sciences Prof. Dr. rer. nat. Markus Schneider Postfach 30 22
D 88216 Weingarten |
Publikationen und Veröffentlichungen
Schneider, Markus
Expected Similarity Estimation for Large-Scale Anomaly Detection. Open Access Repositorium der Universität Ulm. PhD Dissertation (2017). doi:10.18725/OPARU-4222
Schneider, M.
Probability Inequalities for Kernel Embeddings in Sampling without Replacement. in Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016) 66–74 (2016).
Schneider, M., Ertel, W. & Ramos, F.
Kernel Embeddings for Large-Scale Anomaly Detection. in International Conference on Machine Learning (ICML 2016): Anomaly Detection Workshop (2016).
Schneider, M., Ertel, W. & Ramos, F.
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection. Machine Learning Journal 105, 305–333 (2016). doi:10.1007/s10994-016-5567-7
Schneider, M., Ertel, W. & Palm, G.
Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. in Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016) 12–20 (IOS Press, 2016). doi:10.3233/978-1-61499-672-9-12
Schneider, M., Ertel, W. & Palm, G.
Kernel Feature Maps from Arbitrary Distance Metrics. in KI 2015: Advances in Artificial Intelligence (eds. Hölldobler, S., Krötzsch, M., Peñaloza, R. & Rudolph, S.) 137–150 (Springer International Publishing, 2015). doi:10.1007/978-3-319-24489-1_11
Schneider, M., Ertel, W. & Palm, G.
Expected Similarity Estimation for Large-Scale Anomaly Detection. in Proceedings of the International Joint Conference on Neural Networks (IJCNN 2015) 1–8 (IEEE, 2015). doi:10.1109/ijcnn.2015.7280331
Schneider, M. & Ramos, F.
Transductive Learning for Multi-Task Copula Processes. in European Conference on Artificial Intelligence (ECAI 2014) 1089–1090 (IOS Press, 2014). doi:10.3233/978-1-61499-419-0-1089
Schneider, M. & Ertel, W.
Robot Learning by Demonstration with local Gaussian process regression. in Intelligent Robots and Systems (IROS 2010), 255–260 (2010). doi:10.1109/IROS.2010.5650949