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» Simulation Optimization: Methods and Applications
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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 25 days ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
ASPLOS
1994
ACM
15 years 10 months ago
Compiler Optimizations for Improving Data Locality
In the past decade, processor speed has become significantly faster than memory speed. Small, fast cache memories are designed to overcome this discrepancy, but they are only effe...
Steve Carr, Kathryn S. McKinley, Chau-Wen Tseng
DATE
2009
IEEE
123views Hardware» more  DATE 2009»
16 years 28 days ago
Shock immunity enhancement via resonance damping in gyroscopes for automotive applications
—This paper presents an innovative and effective method to improve the performance of a micro mechanical gyroscope by introducing the damping of its sensing quality factor. Indee...
Eleonora Marchetti, Luca Fanucci, A. Rocchi, Marco...
LCN
2005
IEEE
15 years 11 months ago
Modelling of SACK TCP and application to the HTTP File Transfer Environment
It is known that analytic modelling for TCP latency is a non trivial task. Recently, some significant progress has been made, such as the comprehensive result by Sikdar et al. Ho...
Damien Phillips, Jiankun Hu
SSIAI
2000
IEEE
15 years 10 months ago
Pairwise Markov Random Fields and its Application in Textured Images Segmentation
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
Wojciech Pieczynski, Abdel-Nasser Tebbache