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» Using model knowledge for learning inverse dynamics
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ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 3 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
BROADNETS
2007
IEEE
14 years 2 months ago
Reduced flow routing: Leveraging residual capacity to reduce blocking in GMPLS networks
— Traffic engineering has been extensively studied to maximize network resource utilization while minimizing call blocking [1]. As the the demand for high data rate services ove...
Xiaolan J. Zhang, Sun-il Kim, Steven S. Lumetta
ROBOCUP
2004
Springer
133views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Towards a League-Independent Qualitative Soccer Theory for RoboCup
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
ISMB
1997
13 years 10 months ago
Standardized Representations of the Literature: Combining Diverse Sources of Ribosomal Data
We are building a knowledge base (KB) of published structural data on the 30s ribosomal subunit in prokaryotes. Our KB is distinguished by a standardized representation of biologi...
Russ B. Altman, Neil F. Abernethy, Richard O. Chen
PPOPP
2011
ACM
12 years 11 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...