766 search results - page 115 / 154 » Variations on U-Shaped Learning |
CSCW
2002
ACM
13 years 8 months ago
2002
ACM
Mobile technology requires new methods for studying its use under realistic conditions "in the field." Reflexively, mobile technology also creates new opportunities for ...
GPEM
2000
13 years 8 months ago
2000
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
IJPRAI
2002
13 years 8 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
TMI
1998
13 years 8 months ago
1998
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
PR
2007
13 years 8 months ago
2007
In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a patte...