1137 search results - page 10 / 228 » Parametric Process Model Inference |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object’s own dynamic behavior, or by the dyn...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
DAC
1996
ACM
13 years 11 months ago
1996
ACM
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
GRC
2010
IEEE
13 years 8 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...