| Robot learning by demonstration with local gaussian process regression M Schneider, W Ertel 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 140 | 2010 |
| Expected similarity estimation for large-scale batch and streaming anomaly detection M Schneider, W Ertel, F Ramos Machine Learning 105, 305-333, 2016 | 73 | 2016 |
| Lat: A simple learning from demonstration method B Reiner, W Ertel, H Posenauer, M Schneider 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 33 | 2014 |
| The teaching-box: A universal robot learning framework W Ertel, M Schneider, R Cubek, M Tokic 2009 International Conference on Advanced Robotics, 1-6, 2009 | 30 | 2009 |
| Probability inequalities for kernel embeddings in sampling without replacement M Schneider Artificial Intelligence and Statistics, 66-74, 2016 | 21 | 2016 |
| Expected similarity estimation for large scale anomaly detection M Schneider, W Ertel, G Palm 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 8 | 2015 |
| Learning from demonstration with Gaussian processes M Schneider Ph. D. dissertation, Master-thesis, University of Applied Sciences …, 2009 | 4 | 2009 |
| Expected similarity estimation for large-scale anomaly detection M Schneider Universität Ulm, 2017 | 3 | 2017 |
| Kernel Feature Maps from Arbitrary Distance Metrics M Schneider, W Ertel, G Palm Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015 | 2 | 2015 |
| Transductive Learning for Multi-Task Copula Processes M Schneider, F Ramos European Conference on Artificial Intelligence (ECAI), 2014 | 2 | 2014 |
| Combining gaussian processes and conventional path planning in a learning from demonstration framework M Schneider, R Cubek, T Fromm, W Ertel International Conference on Research and Education in Robotics, 118-129, 2010 | 2 | 2010 |
| Reinforcement learning with RBF-networks M Schneider Scientific Project, University of Applied Sciences Weingarten, 2006 | 2 | 2006 |
| Constant time expected similarity estimation for large-scale anomaly detection M Schneider, W Ertel, G Palm ECAI 2016, 12-20, 2016 | 1 | 2016 |
| Reinforcement learning für laufroboter M Schneider Verlag nicht ermittelbar, 2007 | 1 | 2007 |
| Kernel Embeddings for Large-Scale Anomaly Detection M Schneider, W Ertel, F Ramos International Conference on Machine Learning (ICML 2016): Anomaly Detection …, 2016 | | 2016 |
| Constant Time EXPected Similarity Estimation using Stochastic Optimization M Schneider, W Ertel, G Palm arXiv preprint arXiv:1511.05371, 2015 | | 2015 |
Wolfgang ErtelProfessor für Informatik, Institute for Artificial Intelligence, Ravensburg-Weingarten University ofZweryfikowany adres z hs-weingarten.de
