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86
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ACL
2008
15 years 2 months ago
Multi-Task Active Learning for Linguistic Annotations
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...
Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappop...
112
Voted
ETS
2002
IEEE
116views Hardware» more  ETS 2002»
15 years 15 days ago
Human Activity Systems: A Theoretical Framework for Designing Learning for Multicultural Settings
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
Jill Slay
141
Voted
ICIP
2009
IEEE
14 years 10 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
114
Voted
ICCS
2007
Springer
15 years 6 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
107
Voted
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 6 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott