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» The Dark Side of Object Learning: Learning Objects
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ECML
2007
Springer
14 years 3 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte
MTSR
2007
Springer
14 years 3 months ago
Comparing Different Metadata Application Profiles for Agricultural Learning Repositories
Agricultural learning repositories can provide new opportunities for sharing, accessing, using and reusing learning resources online. Metadata plays a crucial role in such systems:...
Nikos Manouselis, Gauri Salokhe, Johannes Keizer
NIPS
2007
13 years 10 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
ARTMED
2006
75views more  ARTMED 2006»
13 years 9 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
UIST
2009
ACM
14 years 3 months ago
Bonfire: a nomadic system for hybrid laptop-tabletop interaction
We present Bonfire, a self-contained mobile computing system that uses two laptop-mounted laser micro-projectors to project an interactive display space to either side of a laptop...
Shaun K. Kane, Daniel Avrahami, Jacob O. Wobbrock,...