6715 search results - page 42 / 1343 » Learning from a Test Set |
BMCBI
2006
13 years 8 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
AAAI
2007
13 years 10 months ago
2007
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
AUSAI
1999
Springer
14 years 24 days ago
1999
Springer
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
MICCAI
2005
Springer
14 years 9 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...