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EUROCRYPT
2003
Springer
14 years 1 months ago
Two-Threshold Broadcast and Detectable Multi-party Computation
Classical distributed protocols like broadcast or multi-party computation provide security as long as the number of malicious players f is bounded by some given threshold t, i.e., ...
Matthias Fitzi, Martin Hirt, Thomas Holenstein, J&...
SIGMOD
2010
ACM
153views Database» more  SIGMOD 2010»
14 years 1 months ago
Threshold query optimization for uncertain data
The probabilistic threshold query (PTQ) is one of the most common queries in uncertain databases, where all results satisfying the query with probabilities that meet the threshold...
Yinian Qi, Rohit Jain, Sarvjeet Singh, Sunil Prabh...
BMCBI
2007
130views more  BMCBI 2007»
13 years 8 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 8 months ago
Hardness Results for Agnostically Learning Low-Degree Polynomial Threshold Functions
Hardness results for maximum agreement problems have close connections to hardness results for proper learning in computational learning theory. In this paper we prove two hardnes...
Ilias Diakonikolas, Ryan O'Donnell, Rocco A. Serve...
CORR
2008
Springer
144views Education» more  CORR 2008»
13 years 8 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies