Daniel Schneegaß
According to our database1,
Daniel Schneegaß
authored at least 17 papers
between 2005 and 2020.
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Bibliography
2020
RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation.
CoRR, 2020
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
2009
IEEE Trans. Neural Networks, 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification.
Proceedings of the Artificial Neural Networks, 2007
Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
Proceedings of the Artificial Neural Networks, 2006
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006
2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005