465 search results - page 33 / 93 » Optimizing Local Probability Models for Statistical Parsing |
104
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
133
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ICDE
2009
IEEE
15 years 8 months ago
2009
IEEE
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
104
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WIOPT
2010
IEEE
15 years 8 days ago
2010
IEEE
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
120
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BMVC
2010
14 years 11 months ago
2010
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
130
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UAI
2004
15 years 3 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...