2040 search results - page 78 / 408 » Approximate Expectation Maximization |
109
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NIPS
2003
15 years 27 days ago
2003
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
107
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SIAMJO
2010
14 years 6 months ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
TELETRAFFIC
2007
Springer
15 years 5 months ago
2007
Springer
We study the capacity allocation problem in service overlay networks (SON)s with state-dependent connection routing based on revenue maximization. We formulate the dimensioning pro...
CORR
2011
Springer
14 years 6 months ago
2011
Springer
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
MICCAI
2004
Springer
16 years 12 days ago
2004
Springer
This paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a...