69 search results - page 8 / 14 » Random Sampling of Labeled Tournaments |
PRIB
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
EKAW
2000
Springer
14 years 6 days ago
2000
Springer
Knowledge refinement tools rely on a representative set of training examples to identify and repair faults in a knowledge based system (KBS). In real environments it is often diffi...
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper demonstrates how to reduce the hand labeling effort considerably by 3D information in an object detection task. In particular, we demonstrate how an efficient car detec...
AAAI
2008
13 years 11 months ago
2008
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...