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» Probabilistic algorithms for computing resultants
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SODA
2008
ACM
126views Algorithms» more  SODA 2008»
15 years 6 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
NDSS
2008
IEEE
15 years 11 months ago
Usable PIR
In [22] we showed that existing single-server computational private information retrieval (PIR) protocols for the purpose of preserving client access patterns leakage are orders o...
Peter Williams, Radu Sion
ICASSP
2007
IEEE
15 years 11 months ago
Evolutionary Sequence Modeling for Discovery of Peptide Hormones
There are currently a large number of ‘‘orphan’’ G-protein-coupled receptors (GPCRs) whose endogenous ligands (peptide hormones) are unknown. Identification of these pepti...
M. Kemal Sönmez, Lawrence Toll, Nina Zaveri
AI
2010
Springer
15 years 5 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
MOBIHOC
2003
ACM
16 years 4 months ago
Lightweight sensing and communication protocols for target enumeration and aggregation
The development of lightweight sensing and communication protocols is a key requirement for designing resource constrained sensor networks. This paper introduces a set of efficien...
Qing Fang, Feng Zhao, Leonidas J. Guibas