Sciweavers

4245 search results - page 58 / 849
» Input Modeling
Sort
View
WSC
2007
15 years 2 months ago
Representing and generating uncertainty effectively
Stochastic simulations involve at least some random inputs. This introductory tutorial is meant to call attention to the need to model and generate such inputs in ways that may no...
W. David Kelton
NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 11 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
LCN
2003
IEEE
15 years 5 months ago
Characterization of the Burst Stabilization Protocol for the RR/RR CICQ Switch
Input buffered switches with Virtual Output Queueing (VOQ) can be unstable when presented with unbalanced loads. Existing scheduling algorithms, including iSLIP for Input Queued (...
Neil J. Gunther, Kenneth J. Christensen, Kenji Yos...
DAC
2008
ACM
16 years 25 days ago
Cache modeling in probabilistic execution time analysis
Multimedia-dominated consumer electronics devices (such as cellular phone, digital camera, etc.) operate under soft real-time constraints. Overly pessimistic worst-case execution ...
Yun Liang, Tulika Mitra
AUTOMATICA
1999
64views more  AUTOMATICA 1999»
14 years 11 months ago
Spatial balanced model reduction for flexible structures
This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...