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84
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ISSRE
2007
IEEE
15 years 13 days ago
Improving Constraint-Based Testing with Dynamic Linear Relaxations
Constraint-Based Testing (CBT) is the process of generating test cases against a testing objective by using constraint solving techniques. In CBT, testing objectives are given und...
Tristan Denmat, Arnaud Gotlieb, Mireille Ducass&ea...
129
Voted
ICST
2009
IEEE
14 years 8 months ago
Euclide: A Constraint-Based Testing Framework for Critical C Programs
Euclide is a new Constraint-Based Testing tool for verifying safety-critical C programs. By using a mixture of symbolic and numerical analyses (namely static single assignment for...
Arnaud Gotlieb
91
Voted
NIPS
2007
15 years 10 days ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
86
Voted
MP
2006
110views more  MP 2006»
14 years 11 months ago
Decomposition and Dynamic Cut Generation in Integer Linear Programming
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Ted K. Ralphs, Matthew V. Galati
ICML
2010
IEEE
14 years 12 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein