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104
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 7 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
98
Voted
KCAP
2009
ACM
15 years 4 months ago
Reducing class imbalance during active learning for named entity annotation
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
Katrin Tomanek, Udo Hahn
WWW
2006
ACM
15 years 10 months ago
Invisible participants: how cultural capital relates to lurking behavior
The asymmetry of activity in virtual communities is of great interest. While participation in the activities of virtual communities is crucial for a community's survival and ...
Vladimir Soroka, Sheizaf Rafaeli
IADIS
2004
14 years 11 months ago
Electronic case studies: a problem-based learning approach
E-Cases is an innovative approach to management development. Traditional case studies typically describe a decision or a problem in a real-life setting. E-Cases encourage students...
Philip M. Drinkwater, Christopher P. Holland, K. N...
85
Voted
CONTEXT
2007
Springer
15 years 3 months ago
Activity Systems and Context Working as Core Concepts in Modeling Socio-Technical Systems
Current modeling approaches in the field of learning and work resemble the notion of workflows and hence fall short in describing the situated and socially mediated nature of pract...
Heidrun Allert, Christoph Richter