474 search results - page 32 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
146
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BMCBI
2010
15 years 4 months ago
2010
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
119
Voted
PRL
2006
15 years 3 months ago
2006
We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture m...
159
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
151
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ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
124
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...