168 search results - page 1 / 34 » Sampling-based Approximation Algorithms for Multi-stage Stoc... |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
ICDE
2006
IEEE
14 years 6 months ago
2006
IEEE
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
SIGECOM
2011
ACM
12 years 7 months ago
2011
ACM
We present algorithms for a class of resource allocation problems both in the online setting with stochastic input and in the offline setting. This class of problems contains man...
FSTTCS
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...