69 search results - page 9 / 14 » Random Sampling of Labeled Tournaments |
CIKM
2011
Springer
12 years 8 months ago
2011
Springer
Various semi-supervised learning methods have been proposed recently to solve the long-standing shortage problem of manually labeled data in sentiment classification. However, mos...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
APPROX
2007
Springer
14 years 2 months ago
2007
Springer
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
BMCBI
2011
13 years 3 months ago
2011
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
PKDD
2007
Springer
14 years 2 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...