314 search results - page 9 / 63 » Active Learning with Irrelevant Examples |
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Appearance features are good at discriminating activities in a fixed view, but behave poorly when aspect is changed. We describe a method to build features that are highly stable u...
CIKM
2005
Springer
15 years 5 months ago
2005
Springer
We consider the problem of finding officially unrecognized side effects of drugs. By submitting queries to the Web involving a given drug name, it is possible to retrieve pages co...
GECCO
2008
Springer
15 years 23 days ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
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ACL
2008
15 years 1 months ago
2008
We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than f...