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GLOBECOM
2008
IEEE
14 years 3 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
14 years 3 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...
HPCC
2005
Springer
14 years 2 months ago
Exploring Regression for Mining User Moving Patterns in a Mobile Computing System
In this paper, by exploiting the log of call detail records, we present a solution procedure of mining user moving patterns in a mobile computing system. Specifically, we propose ...
Chih-Chieh Hung, Wen-Chih Peng, Jiun-Long Huang
TWC
2010
13 years 3 months ago
Indoor localization with channel impulse response based fingerprint and nonparametric regression
Abstract--In this paper, we propose a fingerprint-based localization scheme that exploits the location dependency of the channel impulse response (CIR). We approximate the CIR by a...
Yunye Jin, Wee-Seng Soh, Wai-Choong Wong
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 3 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...