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NIPS
2008
15 years 17 days ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
82
Voted
AAAI
2000
15 years 15 days ago
Predicting UNIX Command Lines: Adjusting to User Patterns
As every user has his own idiosyncrasies and preferences, an interface that is honed for one user may be problematic for another. To accommodate a diverse range of users, many com...
Benjamin Korvemaker, Russell Greiner
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
14 years 10 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus
121
Voted
CVPR
2011
IEEE
14 years 6 months ago
Monocular 3D Scene Understanding with Explicit Occlusion Reasoning
Scene understanding from a monocular, moving camera is a challenging problem with a number of applications including robotics and automotive safety. While recent systems have show...
Christian Wojek, Stefan Walk, Stefan Roth, Bernt S...
87
Voted
ICML
2006
IEEE
15 years 12 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...