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» Solving Demodulation as an Optimization Problem
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ICML
2008
IEEE
16 years 5 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
CADE
2007
Springer
16 years 4 months ago
An Incremental Technique for Automata-Based Decision Procedures
Abstract. Automata-based decision procedures commonly achieve optimal complexity bounds. However, in practice, they are often outperformed by sub-optimal (but more local-search bas...
David Toman, Gulay Ünel
VISUALIZATION
1998
IEEE
15 years 8 months ago
Visualization for multiparameter aircraft designs
We describe an aircraft design problem in high dimensional space, with D typically being 10 to 30. In some respects this is a classic optimization problem, where the goal is to fi...
Clifford A. Shaffer, Duane L. Knill, Layne T. Wats...
SIAMDM
2008
90views more  SIAMDM 2008»
15 years 4 months ago
Maximizing Supermodular Functions on Product Lattices, with Application to Maximum Constraint Satisfaction
Recently, a strong link has been discovered between supermodularity on lattices and tractability of optimization problems known as maximum constraint satisfaction problems. The pre...
Andrei A. Krokhin, Benoit Larose
PR
2010
156views more  PR 2010»
15 years 3 months ago
The hyperbolic smoothing clustering method
It is considered the minimum sum-of-squares clustering problem. The mathematical modeling of this problem leads to a min − sum − min formulation which, in addition to its intr...
Adilson Elias Xavier