Markus Schneider
Markus Schneider
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Titel
Zitiert von
Zitiert von
Jahr
Robot learning by demonstration with local gaussian process regression
M Schneider, W Ertel
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
852010
Expected similarity estimation for large-scale batch and streaming anomaly detection
M Schneider, W Ertel, F Ramos
Machine Learning 105 (3), 305-333, 2016
322016
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
252009
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
182014
Probability inequalities for kernel embeddings in sampling without replacement
M Schneider
Artificial Intelligence and Statistics, 66-74, 2016
72016
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
72015
Learning from demonstration with Gaussian processes
M Schneider
Ph. D. dissertation, Master-thesis, University of Applied Sciences …, 2009
52009
Expected similarity estimation for large-scale anomaly detection
M Schneider
Universität Ulm, 2017
22017
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
22010
Reinforcement learning with RBF-networks
M Schneider
Scientific Project, University of Applied Sciences Weingarten, 2006
22006
Kernel feature maps from arbitrary distance metrics
M Schneider, W Ertel, G Palm
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
12015
Transductive Learning for Multi-Task Copula Processes
M Schneider, F Ramos
European Conference on Artificial Intelligence (ECAI), 2014
12014
Reinforcement learning für laufroboter
M Schneider
Verlag nicht ermittelbar, 2007
12007
Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection.
M Schneider, W Ertel, G Palm
ECAI, 12-20, 2016
2016
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
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