1088 search results - page 196 / 218 » A Bayesian Approach to Tackling Hard Computational Problems |
TSP
2010
14 years 4 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
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PODS
2008
ACM
15 years 9 months ago
2008
ACM
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...