455 search results - page 3 / 91 » Adaptive Sampling for Noisy Problems |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
EWRL
2008
14 years 11 months ago
2008
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
101
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GECCO
2010
Springer
15 years 2 months ago
2010
Springer
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
106
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SAGA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
66
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...