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» Using Gaussian Processes to Optimize Expensive Functions
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AIPS
2003
13 years 9 months ago
Reasoning about Autonomous Processes in an Estimated-Regression Planner
We examine the issues that arise in extending an estimatedregression (ER) planner to reason about autonomous processes that run and have continuous and discrete effects without th...
Drew V. McDermott
ICIP
2006
IEEE
14 years 9 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 1 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
NECO
2008
108views more  NECO 2008»
13 years 7 months ago
Optimal Approximation of Signal Priors
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
Aapo Hyvärinen
IJCSS
2006
67views more  IJCSS 2006»
13 years 7 months ago
Recursive Filter Design for Estimating Time Varying Multijoint Human Arm Viscoelasticity
The time varying human multijoint arm dynamics can be modeled by two factors, simplified musculoskeletal dynamics and the uncertainty factor consisting of measurement noises and m...
Mingcong Deng, Akira Inoue, Hiroaki Gomi, Yoichi H...