1023 search results - page 27 / 205 » Graph model selection using maximum likelihood |
BMEI
2009
IEEE
13 years 8 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
SIROCCO
2008
13 years 9 months ago
2008
We study communication in known topology radio networks with the presence of interference constraints. We consider a real-world situation, when a transmission of a node produces an...
DAC
1998
ACM
14 years 8 months ago
1998
ACM
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...