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» Uncertain Linear Constraints
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CP
2008
Springer
15 years 8 months ago
Perfect Derived Propagators
When implementing a propagator for a constraint, one must decide about variants: When implementing min, should one also implement max? Should one implement linear equations both wi...
Christian Schulte, Guido Tack
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
15 years 6 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 6 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
ANOR
2004
116views more  ANOR 2004»
15 years 6 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
CAD
2000
Springer
15 years 6 months ago
Time-critical multiresolution rendering of large complex models
Very large and geometrically complex scenes, exceeding millions of polygons and hundreds of objects, arise naturally in many areas of interactive computer graphics. Time-critical ...
Enrico Gobbetti, Eric Bouvier