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» SAT, SMT and Applications
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ISSTA
2010
ACM
15 years 5 months ago
Proving memory safety of floating-point computations by combining static and dynamic program analysis
Whitebox fuzzing is a novel form of security testing based on dynamic symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found many ne...
Patrice Godefroid, Johannes Kinder
DAC
2007
ACM
16 years 2 months ago
On-The-Fly Resolve Trace Minimization
The ability of modern SAT solvers to produce proofs of unsatisfiability for Boolean formulas has become a powerful tool for EDA applications. Proofs are generated from a resolve t...
Ohad Shacham, Karen Yorav
INTERSPEECH
2010
14 years 8 months ago
On speaker adaptive training of artificial neural networks
In the paper we present two techniques improving the recognition accuracy of multilayer perceptron neural networks (MLP ANN) by means of adopting Speaker Adaptive Training. The us...
Jan Trmal, Jan Zelinka, Ludek Müller
106
Voted
AIPS
2006
15 years 3 months ago
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
Jörg Hoffmann, Carla P. Gomes, Bart Selman
APPT
2005
Springer
15 years 7 months ago
Static Partitioning vs Dynamic Sharing of Resources in Simultaneous MultiThreading Microarchitectures
Simultaneous MultiThreading (SMT) achieves better system resource utilization and higher performance because it exploits ThreadLevel Parallelism (TLP) in addition to “conventiona...
Chen Liu, Jean-Luc Gaudiot