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...
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...
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...
Recently, a strong link has been discovered between supermodularity on lattices and tractability of optimization problems known as maximum constraint satisfaction problems. The pre...
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...