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» Nonmyopic active learning of Gaussian processes: an explorat...
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CORR
2011
Springer
219views Education» more  CORR 2011»
8 years 9 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
PKDD
2015
Springer
19views Data Mining» more  PKDD 2015»
3 years 10 months ago
Safe Exploration for Active Learning with Gaussian Processes
In this paper, the problem of safe exploration in the active learning context is considered. Safe exploration is especially important for data sampling from technical and industria...
Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bas...

Publication
226views
8 years 1 months ago
Modelling Multi-object Activity by Gaussian Processes
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
Chen Change Loy, Tao Xiang, Shaogang Gong
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
9 years 9 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
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