SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. - Thomas Martinetz; Kai Labusch; Daniel Schneegaß (ICANN (2), 2005)

Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. - Daniel Schneegaß; Steffen Udluft; Thomas Martinetz (Artificial Intelligence and Applications, 2006)

OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. - Daniel Schneegaß; Thomas Martinetz; Michael Clausohm (ESANN, 2006)

MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. - Daniel Schneegaß; Kai Labusch; Thomas Martinetz (ICANN (1), 2006)

The Intrinsic Recurrent Support Vector Machine. - Daniel Schneegaß; Anton Maximilian Schäfer; Thomas Martinetz (ESANN, 2007)

Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments. - Daniel Schneegaß; Steffen Udluft; Thomas Martinetz (ESANN, 2007)

Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification. - Daniel Schneegaß; Steffen Udluft; Thomas Martinetz (ESANN, 2007)

Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. - Daniel Schneegaß; Steffen Udluft; Thomas Martinetz (ICANN (1), 2007)

A Neural Reinforcement Learning Approach to Gas Turbine Control. - Anton Maximilian Schäfer; Daniel Schneegaß; Volkmar Sterzing; Steffen Udluft (IJCNN, 2007)

Safe exploration for reinforcement learning. - Alexander Hans; Daniel Schneegaß; Anton Maximilian Schäfer; Steffen Udluft (ESANN, 2008)

Uncertainty propagation for quality assurance in Reinforcement Learning. - Daniel Schneegaß; Steffen Udluft; Thomas Martinetz (IJCNN, 2008)

Steigerung der Informationseffizienz im Reinforcement-Learning. - Daniel Schneegaß (2008)

On the bias of batch Bellman residual minimisation. - Daniel Schneegaß (Neurocomputing, 2009)

SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines. - Thomas Martinetz; Kai Labusch; Daniel Schneegaß (IEEE Trans. Neural Networks, 2009)

A Search for the Underlying Equation Governing Similar Systems. - Changwei Loh; Daniel Schneegass; Pengwei Tian (CoRR, 2019)

RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning. - Cheng Feng 004; Xiao Liang; Daniel Schneegass; Pengwei Tian (CIKM, 2020)

RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation. - Cheng Feng 004; Xiao Liang; Daniel Schneegass; Pengwei Tian (CoRR, 2020)