3088 search results - page 104 / 618 » Learning Question Classifiers |
ESANN
2008
13 years 9 months ago
2008
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
TSE
2008
13 years 8 months ago
2008
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...