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...
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...
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...
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 ...
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...