Publikationen

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Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.
Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

pyGPs: a Python library for Gaussian process regression and classification

In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.
Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein

Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.
Jan Peters; Justus H. Piater; Robert Platt Jr.; Siddhartha S. Srinivasa

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411)

In: Dagstuhl Reports, Vol. 5, No. 10, Pages 1-18, Dagstuhl, 2015.
Filipe Veiga; Herke van Hoof; Jan Peters; Tucker Hermans

Stabilizing novel objects by learning to predict tactile slip

In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …
Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

In: Robotics and Autonomous Systems (RAS), Vol. 74, Pages 97-107, Elsevier, 2015.