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» Adaptive Learning from Evolving Data Streams
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IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 7 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
93
Voted
AAAI
1994
15 years 1 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider
JMLR
2010
137views more  JMLR 2010»
14 years 7 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
130
Voted
HICSS
2002
IEEE
140views Biometrics» more  HICSS 2002»
15 years 5 months ago
Intelligent Student Profiling with Fuzzy Models
Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack...
Dongming Xu, Huaiqing Wang, Kaile Su
ICPR
2010
IEEE
15 years 5 months ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...