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JMLR
2008
151views more  JMLR 2008»
13 years 9 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
CCGRID
2009
IEEE
14 years 3 months ago
Self-Tuning Virtual Machines for Predictable eScience
— Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time pred...
Sang-Min Park, Marty Humphrey
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 3 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
ISORC
2008
IEEE
14 years 3 months ago
Cyber Physical Systems: Design Challenges
Cyber-Physical Systems (CPS) are integrations of computation and physical processes. Embedded computers and networks monitor and control the physical processes, usually with feedb...
Edward A. Lee
RTCSA
2008
IEEE
14 years 3 months ago
Power-Aware Data Buffer Cache Management in Real-Time Embedded Databases
The demand for real-time data services in embedded systems is increasing. In these new computing platforms, using traditional buffer management schemes, whose goal is to minimize ...
Woochul Kang, Sang Hyuk Son, John A. Stankovic