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» New models and algorithms for programmable networks
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162
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UAI
2000
15 years 7 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller
157
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ICASSP
2011
IEEE
14 years 9 months ago
Exploiting sparseness of backing-off language models for efficient look-ahead in LVCSR
In this paper, we propose a new method for computing and applying language model look-ahead in a dynamic network decoder, exploiting the sparseness of backing-off n-gram language ...
David Nolden, Hermann Ney, Ralf Schlüter
259
Voted
IHI
2012
217views Healthcare» more  IHI 2012»
14 years 1 months ago
Declarative privacy policy: finite models and attribute-based encryption
Regulations and policies regarding Electronic Health Information (EHI) are increasingly complex. Federal and State policy makers have called for both education to increase stakeho...
Peifung E. Lam, John C. Mitchell, Andre Scedrov, S...
159
Voted
SSD
2007
Springer
124views Database» more  SSD 2007»
16 years 7 days ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
IPSN
2003
Springer
15 years 11 months ago
Energy Based Acoustic Source Localization
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic en...
Xiaohong Sheng, Yu Hen Hu