1023 search results - page 94 / 205 » Graph model selection using maximum likelihood |
121
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints ...
153
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
100
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
136
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ACL
2006
15 years 4 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
131
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ISAAC
2009
Springer
15 years 9 months ago
2009
Springer
We give a simple framework which is an alternative to the celebrated and widely used shifting strategy of Hochbaum and Maass [J. ACM, 1985] which has yielded efficient algorithms ...