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COLT
2010
Springer
15 years 1 months ago
Active Learning on Trees and Graphs
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
DAGM
2006
Springer
15 years 6 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
ECML
2006
Springer
15 years 6 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
TASLP
2010
144views more  TASLP 2010»
14 years 10 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
IEEESCC
2006
IEEE
15 years 9 months ago
Personalized Active Service Spaces for End-User Service Composition
End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous ...
Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu