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» Zap: Automated Theorem Proving for Software Analysis
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POPL
2010
ACM
14 years 3 months ago
Dependent Types from Counterexamples
d by recent research in abstract model checking, we present a new approach to inferring dependent types. Unlike many of the existing approaches, our approach does not rely on prog...
Tachio Terauchi
BMCBI
2005
112views more  BMCBI 2005»
13 years 5 months ago
Web services and workflow management for biological resources
Backgorund: The completion of the Human Genome Project has resulted in large quantities of biological data which are proving difficult to manage and integrate effectively. There i...
Paolo Romano 0001, Domenico Marra, Luciano Milanes...
BMCBI
2010
147views more  BMCBI 2010»
13 years 5 months ago
Automatic detection of anchor points for multiple sequence alignment
Background: Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This f...
Florian Pitschi, Claudine Devauchelle, Eduardo Cor...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
POPL
2007
ACM
14 years 6 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic