Sciweavers

6 search results - page 1 / 2
» Bias-Corrected Bootstrap and Model Uncertainty
Sort
View
NIPS
2003
13 years 8 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
MICCAI
2004
Springer
14 years 8 months ago
An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images
Abstract. A new hybrid of feature-based and intensity-based registration is presented. The algorithm reflects a new understanding of the role of alignment error in the generation o...
Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai
EOR
2011
127views more  EOR 2011»
13 years 2 months ago
Methodology for determining the acceptability of system designs in uncertain environments
In practice, managers often wish to ascertain that a particular engineering design of a production system meets their requirements. The future environment of this design is likely...
Jack P. C. Kleijnen, Henri Pierreval, Jin Zhang
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 7 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
NECO
2002
145views more  NECO 2002»
13 years 7 months ago
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
Aki Vehtari, Jouko Lampinen