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CSSE
2008
IEEE
14 years 2 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding
GIAE
2004
Springer
153views Mathematics» more  GIAE 2004»
14 years 28 days ago
Hybrid Method for Solving New Pose Estimation Equation System
Camera pose estimation is the problem of determining the position and orientation of an internally calibrated camera from known 3D reference points and their images. We introduce a...
Gregory J. Reid, Jianliang Tang, Jianping Yu, Liho...
IFM
2010
Springer
152views Formal Methods» more  IFM 2010»
13 years 6 months ago
Satisfaction Meets Expectations - Computing Expected Values of Probabilistic Hybrid Systems with SMT
Stochastic satisfiability modulo theories (SSMT), which is an extension of satisfiability modulo theories with randomized quantification, has successfully been used as a symboli...
Martin Fränzle, Tino Teige, Andreas Eggers
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
AAAI
2006
13 years 9 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh