2354 search results - page 79 / 471 » Randomness, Stochasticity and Approximations |
ECAI
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We address the problem of continuous stochastic optimal control in the presence of hard obstacles. Due to the non-smooth character of the obstacles, the traditional appro...
ACL
2009
13 years 7 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
GI
2010
Springer
13 years 7 months ago
2010
Springer
: Based on previous work of the authors, this paper provides a comparison of two different tracking methodologies for extended objects and group targets, where the true shape of th...
JC
2006
13 years 9 months ago
2006
We study the randomized approximation of weakly singular integral operators. For a suitable class of kernels having a standard type of singularity and being otherwise of finite sm...
JORS
2011
2011
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
13 years 4 months ago
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...