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SIAMSC
2011
219views more  SIAMSC 2011»
14 years 11 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
ICASSP
2011
IEEE
14 years 8 months ago
Automatically finding semantically consistent n-grams to add new words in LVCSR systems
This paper presents a new method to automatically add n-grams containing out-of-vocabulary (OOV) words to a baseline language model (LM), where these n-grams are sought to be gram...
Gwénolé Lecorvé, Guillaume Gr...
INFOCOM
2011
IEEE
14 years 8 months ago
The resilience of WDM networks to probabilistic geographical failures
—Telecommunications networks, and in particular optical WDM networks, are vulnerable to large-scale failures of their physical infrastructure, resulting from physical attacks (su...
Pankaj K. Agarwal, Alon Efrat, Shashidhara K. Ganj...
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CSFW
2011
IEEE
14 years 4 months ago
Dynamic Enforcement of Knowledge-Based Security Policies
—This paper explores the idea of knowledge-based security policies, which are used to decide whether to answer queries over secret data based on an estimation of the querier’s ...
Piotr Mardziel, Stephen Magill, Michael Hicks, Mud...
CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 11 days ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar