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ICDE
2002
IEEE
146views Database» more  ICDE 2002»
16 years 19 days ago
Query Estimation by Adaptive Sampling
The ability to provide accurate and efficient result estimations of user queries is very important for the query optimizer in database systems. In this paper, we show that the tra...
Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi
ICPR
2004
IEEE
16 years 11 days ago
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
Amit David, Boaz Lerner
TACAS
2010
Springer
342views Algorithms» more  TACAS 2010»
15 years 6 months ago
SAT Based Bounded Model Checking with Partial Order Semantics for Timed Automata
We study the model checking problem of timed automata based on SAT solving. Our work investigates alternative possibilities for coding the SAT reductions that are based on parallel...
Janusz Malinowski, Peter Niebert
SP
2009
IEEE
114views Security Privacy» more  SP 2009»
15 years 6 months ago
Formally Certifying the Security of Digital Signature Schemes
We present two machine-checked proofs of the existential unforgeability under adaptive chosen-message attacks of the Full Domain Hash signature scheme. These proofs formalize the ...
Santiago Zanella Béguelin, Gilles Barthe, B...
ICASSP
2008
IEEE
15 years 5 months ago
Maximum entropy models for speech confidence estimation
In this work we implement a confidence estimation system based on a Naive Bayes classifier, by using the maximum entropy paradigm. The model takes information from various sourc...
Claudio Estienne, Alberto Sanchís, Alfons J...