1183 search results - page 16 / 237 » Learning Process Models with Missing Data |
JGS
2010
14 years 8 months ago
2010
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
116
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ECCV
2004
Springer
16 years 3 months ago
2004
Springer
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
123
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ICDM
2009
IEEE
14 years 11 months ago
2009
IEEE
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
119
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DSMML
2004
Springer
15 years 6 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...